Name: SwiftUI and Node.js Full Stack - Build Twitter - iOS 16
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<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>Server administrators<br />Network engineers<br />Systems engineers<br />Consulting systems engineers<br />Technical solutions architects<br />Network administrators<br />Storage administrators<br />Network managers<br />Cisco integrators and partners</p>Overview<p>After taking this course, you should be able to:<br />Describe and implement Fibre Channel, zoning, and N-Port Virtualization (NPV) features on Cisco UCS<br />Describe and implement Fibre Channel over Ethernet (FCoE) on Cisco UCS<br />Describe Cisco UCS policies for service profiles<br />Describe Cisco Adapter Fabric Extender (FEX) and Single Root I/O Virtualization<br />Describe and implement Role-Based Access Control (RBAC) on Cisco UCS<br />Describe and implement external authentication providers on Cisco UCS Manager<br />Describe and implement key management on Cisco UCS Manager<br />Describe Cisco UCS Director<br />Describe and implement Cisco Intersight<br />Describe the scripting options for Cisco UCS Manager<br />Describe and implement monitoring on Cisco UCS Manager</p><p>The Configuring Cisco Unified Computing System (DCCUCS) v1.0 shows you how to deploy, secure, operate, and maintain Cisco Unified Computing System? (Cisco UCSÂ©) B-series blade servers, Cisco UCS C-Series, and S-Series rack servers for use in data centers. You will learn how to implement management and orchestration software for Cisco UCS. You will gain hands-on practice: configuring key features of Cisco UCS, Cisco UCS Director, and Cisco UCS Manager; implementing UCS management software including Cisco UCS Manager and Cisco Intersight?; and more.</p></div><div id="course-pills-2"><h4>Implementing Cisco UCS Storage Area Network (SAN)</h4><ul><li>SAN Introduction</li><li>Cisco UCS Fabric Interconnect Fibre Channels modes</li><li>Named VSANs</li><li>Cisco UCS Fibre Channel and FCoE Storage Connectivity</li></ul><h4>Describing Cisco UCS Policies for Service Profiles</h4><ul><li>Storage Policies and Profiles</li><li>Basic Input Output System (BIOS) Policies</li><li>Boot Policy</li><li>Intelligent Platform Management Interface (IPMI) Policies</li><li>Scrub Policies</li><li>Maintenance Policies</li></ul><h4>Describing Cisco Adapter FEX and Single Root I/O Virtualization</h4><ul><li>Cisco FEX Overview</li><li>Cisco Adapter FEX</li><li>Single Root I/O Virtualization</li></ul><h4>Implementing RBAC on Cisco UCS</h4><ul><li>RBAC in Cisco UCS</li><li>Users, Roles, and Privileges</li><li>Functions of Organizations and Locales</li><li>Effective Rights of a User</li></ul><h4>Implementing External Authentication Providers</h4><ul><li>Options for External Authentication Providers</li></ul><h4>Implementing Key Management on Cisco UCS Manager</h4><ul><li>Public Key Infrastructure</li></ul><h4>Implementing Cisco UCS Director</h4><ul><li>Cisco UCS Director Overview</li><li>Policies, Virtual Data Centers, and Catalogs</li><li>Cisco UCS Director Virtualization Support</li><li>Managing Compute with Cisco UCS Director</li><li>Cisco UCS Manager Orchestration</li><li>Self-Service Portal</li><li>Reporting and Monitoring in Cisco UCS Director</li></ul><h4>Implementing Cisco Intersight</h4><ul><li>Cisco UCS Director Overview</li><li>Important Features of Cisco Intersight</li></ul><h4>Describing the Scripting Options for Cisco UCS Manager</h4><ul><li>Cisco UCS Manager XML API</li><li>Cisco UCS Management Information Tree</li><li>Managed Object Browser</li><li>Cisco UCS PowerTool</li><li>Cisco UCS Python Software Development Kit (SDK)</li></ul><h4>Implementing Key Management on Cisco UCS Manager</h4><ul><li>Public Key Infrastructure</li></ul><h4>Implementing Cisco Intersight</h4><ul><li>Cisco Intersight Overview</li><li>Important Features of Cisco Intersight</li></ul><h4>Describing the Scripting Options for Cisco UCS Manager</h4><ul><li>Cisco UCS Manager XML API</li><li>Cisco UCS Management Information Tree</li><li>Managed Object Browser</li><li>Cisco UCS Manager PowerTool</li><li>Cisco UCS Python SDK</li></ul><h4>Implementing Monitoring on Cisco UCS Manager</h4><ul><li>Logging Sources in Cisco UCS Manager</li><li>Port Monitoring Capabilities of Cisco UCS Manager</li><li>Simple Network Management Protocol (SNMP) Security Ramifications</li><li>Cisco UCS Manager Call Home Feature</li></ul><h4>Lab outline</h4><ul><li>Configure Pod-Specific Device Aliases</li><li>Configure Zoning</li><li>Configure VSANs in Cisco UCS Manager</li><li>Configure Unified Ports on Cisco UCS Fabric Interconnects</li><li>Install and Boot VMware Elastic Sky X Integrated (ESXi) on Cisco UCS from the FCoE Logical Unit Number (LUN) via FCoE</li><li>Configure RBAC</li><li>Configure Cisco UCS Manager to Authenticate Users via Open Lightweight Directory Access Protocol (OpenLDAP)</li><li>Configure a Trusted Point and Key Ring in Cisco UCS Manager</li><li>Configure Cisco UCS with Cisco Intersight</li><li>Configure Cisco UCS Manager Using Scripting</li><li>Implement Syslog and Call Home</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Configuring Cisco Unified Computing System v1.0 (DCCUCS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Cisco Configuring Cisco Unified Computing System v1.0 (DCCUCS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Cisco Certified Network Associate (CCNA)

Cisco Certified Network Professional certification (CCNP)

Certificate in Information Security Management Principles (CISMP)

Cisco Certified Entry Networking Technician (CCENT)

Cisco Certified Internetwork Expert (CCIE)

IT Networking Fundamentals

Cisco Configuring Cisco Unified Computing System v1.0 (DCCUCS)

<strong>This course is filled with hands-on and real-time examples to help you understand the concepts and implement them on the go. 75% of the IT industry is now heading toward this API for automating services. Learn everything you need to know about REST API automation, even if you have never worked before in this domain.</strong>
        <p>REST Assured is a powerful set of APIs used to automate RESTful APIs/RESTful web services (just like Selenium WebDriver for web applications). Almost all web applications use REST APIs to communicate with the backend and it has gained a lot of popularity in modern-day application architecture. It is very important for QA/automation engineers to understand how to automate REST API tests. Automating REST API tests are crucial for projects because REST API tests are quick to run and more stable, unlike web automation. 75% of the IT industry is now moving toward REST API automation.

Explore the world of REST API with this hands-on course. You will not only learn the concepts from scratch but also implement them during your course of learning.

This course starts from introducing some basic concepts of APIs, followed by setting up REST Assured using Maven. After that, you see POST, PUT, and DELETE operations and logging of the REST Assured library. Then, you will be handling request parameters, working with headers and cookies, and authentication. Then, you will see XML and JSON schema validation and WireMock. Finally, you will look at various miscellaneous operations.

By the end of this course, you will have complete knowledge of REST API automation testing using REST Assured.

All the code files and resource files are uploaded on the GitHub repository at: https://github.com/PacktPublishing/Learn-REST-API-Automation-Using-REST-Assured</p>
        <h2>What You Will Learn</h2><p>Install Postman, and understand XML and JSON schema validation<br>Understand various types of logging in REST Assured<br>Work with headers and cookies and HTTP methods<br>Use OAuth 1.0 and OAuth 2.0<br>Look at XML namespace validation and Response Aware Matcher<br>Create Mock WebService using WireMock</p>
        <h2>Audience</h2><p>This course is designed for the QE automation engineer, Selenium WebDriver automation aspirant, manual testing professional willing to jumpstart their automation career, and QTP/UFT professional wanting to switch to API automation as per testing market demand. This course will benefit the QE manager exploring better automation solutions for their project, and fresh graduates looking to learn (coding and automation) a quick new skill that has a high demand in the job market.<br><br>Basic knowledge of Core Java is required for quick understanding.</p>
        <h2>Approach</h2><p>The course is intended for example-oriented teaching. So, you won't find any PPTs during the sessions. But you will find dozens of real-time scenarios used to elaborate various API automation concepts.<br><br>All sessions are divided into small videos of less than 20 minutes, followed by resource files.</p>
        <h2>Key Features</h2><p>A comprehensive yet concise course with hands-on concepts and exercises * Assignments with answer keys are provided wherever necessary * Learn REST API automation-basic to advance with all the materials included</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Learn-REST-API-Automation-Using-REST-Assured</p>
        <h2>About the Author</h2><h3>Mayur Deshmukh</h3><p>Mayur Deshmukh is a founder and instructor at De ZINNIA Learning, which is a company dedicated to providing industry-standard training on software automation testing tools and programming languages. Their programs include extensive hands-on training in Java, C#, Python, Selenium WebDriver, Appium, TestNG, Cucumber (BDD), continuous integration, Jenkins, REST, SOAP API automation, WireMock, and Gatling load testing. Mayur motivates his students to keep up a learner's attitude to be able to adopt new technologies to sustain and grow in this dynamic software industry.</p>
        <h2>Course Outline</h2><h4>1. Basics Concepts of APIs</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Is an API?</p><p style='margin: 0'>This video explains about API in detail.</p></td></tr><tr><td style='padding: 15px;'><p>2. Postman Basics</p><p style='margin: 0'>This video explains about the basics of Postman.</p></td></tr><tr><td style='padding: 15px;'><p>3. API Methods</p><p style='margin: 0'>This video talks about API methods.</p></td></tr><tr><td style='padding: 15px;'><p>4. HTTP Status Codes</p><p style='margin: 0'>This video explains about HTTP status codes.</p></td></tr><tr><td style='padding: 15px;'><p>5. REST Versus SOAP</p><p style='margin: 0'>This video explains about REST versus SOAP.</p></td></tr><tr><td style='padding: 15px;'><p>6. What is REST Assured?</p><p style='margin: 0'>This video explains about REST Assured.</p></td></tr><tr><td style='padding: 15px;'><p>7. JSON and JSON Path</p><p style='margin: 0'>This video explains JSON and JSON Path.</p></td></tr><tr><td style='padding: 15px;'><p>8. JSON Schema</p><p style='margin: 0'>This video talks about JSON schema.</p></td></tr></tbody></table><br><h4>2. Getting Started with REST Assured</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. REST Assured Setup Using Maven</p><p style='margin: 0'>This video helps you install REST Assured using Maven.</p></td></tr><tr><td style='padding: 15px;'><p>2. Simple Get Request</p><p style='margin: 0'>This video talks about a simple Get request.</p></td></tr><tr><td style='padding: 15px;'><p>3. Validate JSON Response</p><p style='margin: 0'>This video demonstrates how to validate JSON response.</p></td></tr><tr><td style='padding: 15px;'><p>4. Validate XML Response</p><p style='margin: 0'>This video demonstrates how to validate XML response.</p></td></tr><tr><td style='padding: 15px;'><p>5. Extracting Response Data</p><p style='margin: 0'>This video explains extracting response data.</p></td></tr><tr><td style='padding: 15px;'><p>6. Extracting Single Value from Response</p><p style='margin: 0'>This video explains extracting a single value from Response.</p></td></tr><tr><td style='padding: 15px;'><p>7. Verifying Status Line</p><p style='margin: 0'>This video talks about verifying status line.</p></td></tr></tbody></table><br><h4>3. POST, PUT, and DELETE</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. POST Using File</p><p style='margin: 0'>This video explains how to POST using File.</p></td></tr><tr><td style='padding: 15px;'><p>2. POST Using JSON Object</p><p style='margin: 0'>This video demonstrates how to POST using JSON object.</p></td></tr><tr><td style='padding: 15px;'><p>3. PUT Operation</p><p style='margin: 0'>This video explains the PUT operation.</p></td></tr><tr><td style='padding: 15px;'><p>4. DELETE Operation</p><p style='margin: 0'>This video explains the DELETE operation.</p></td></tr></tbody></table><br><h4>4. REST Assured Logging</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Log All</p><p style='margin: 0'>This video talks about Log All.</p></td></tr><tr><td style='padding: 15px;'><p>2. Log Body and Headers</p><p style='margin: 0'>This video demonstrates log body and headers.</p></td></tr><tr><td style='padding: 15px;'><p>3. Log Cookies and Status</p><p style='margin: 0'>This video explains log cookies and status.</p></td></tr><tr><td style='padding: 15px;'><p>4. Log If Error</p><p style='margin: 0'>This video explains log if error.</p></td></tr><tr><td style='padding: 15px;'><p>5. Log If Validation Fails</p><p style='margin: 0'>This video talks about log if validation fails.</p></td></tr></tbody></table><br><h4>5. Handling Request Parameters</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Query Parameters</p><p style='margin: 0'>This video talks about query parameters.</p></td></tr><tr><td style='padding: 15px;'><p>2. Multiple Query Parameters</p><p style='margin: 0'>This video focuses on multiple query parameters.</p></td></tr><tr><td style='padding: 15px;'><p>3. Multi-Value Parameters</p><p style='margin: 0'>This video explains about multi-value parameters.</p></td></tr><tr><td style='padding: 15px;'><p>4. Path Parameters</p><p style='margin: 0'>This video explains about path parameters.</p></td></tr><tr><td style='padding: 15px;'><p>5. Form Parameters</p><p style='margin: 0'>This video explains about form parameters.</p></td></tr></tbody></table><br><h4>6. Working with Headers and Cookies</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Are Headers?</p><p style='margin: 0'>This video explains about headers.</p></td></tr><tr><td style='padding: 15px;'><p>2. Sending Request Headers</p><p style='margin: 0'>This video explains how to send request headers.</p></td></tr><tr><td style='padding: 15px;'><p>3. Sending Headers Using Objects</p><p style='margin: 0'>This video explains how to send headers using objects.</p></td></tr><tr><td style='padding: 15px;'><p>4. Sending Cookies</p><p style='margin: 0'>This video demonstrates how to send cookies.</p></td></tr><tr><td style='padding: 15px;'><p>5. Sending Cookies Using Builder</p><p style='margin: 0'>This video explains how to send cookies using Builder.</p></td></tr><tr><td style='padding: 15px;'><p>6. Validating Response Headers</p><p style='margin: 0'>This video explains how to validate response headers.</p></td></tr><tr><td style='padding: 15px;'><p>7. Extracting Response Headers</p><p style='margin: 0'>This video explains how to extract response headers.</p></td></tr><tr><td style='padding: 15px;'><p>8. Extracting Response Cookies</p><p style='margin: 0'>This video demonstrates how to extract response cookies.</p></td></tr></tbody></table><br><h4>7. Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic and Digest Auth</p><p style='margin: 0'>This video explains about basics and digest authentication.</p></td></tr><tr><td style='padding: 15px;'><p>2. 'scribejava' Maven Dependency for OAuth</p><p style='margin: 0'>This video talks about 'scribejava' Maven dependency for OAuth.</p></td></tr><tr><td style='padding: 15px;'><p>3. OAuth 1.0</p><p style='margin: 0'>This video focuses on OAuth 1.0.</p></td></tr><tr><td style='padding: 15px;'><p>4. Twitter OAuth Example</p><p style='margin: 0'>This video talks about a Twitter OAuth example.</p></td></tr><tr><td style='padding: 15px;'><p>5. OAuth 2.0</p><p style='margin: 0'>This video talks about OAuth 2.0.</p></td></tr></tbody></table><br><h4>8. XML and JSON Schema Validation</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. JSON Schema Validation</p><p style='margin: 0'>This video talks about JSON schema validation.</p></td></tr><tr><td style='padding: 15px;'><p>2. XML DTD Schema Validation</p><p style='margin: 0'>This video talks about XML DTD schema validation.</p></td></tr><tr><td style='padding: 15px;'><p>3. XML XSD Schema Validation</p><p style='margin: 0'>This video talks about XML XSD schema validation.</p></td></tr></tbody></table><br><h4>9. WireMock: WebService Virtualization</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why API Mocking?</p><p style='margin: 0'>This video explains why API Mocking is important.</p></td></tr><tr><td style='padding: 15px;'><p>2. WireMock Setup</p><p style='margin: 0'>This video helps in setting up WireMock.</p></td></tr><tr><td style='padding: 15px;'><p>3. Running Mock Server on HTTP / HTTPS Ports</p><p style='margin: 0'>This video is about running a mock server on HTTP / HTTPS ports.</p></td></tr><tr><td style='padding: 15px;'><p>4. Writing WireMock Stubs</p><p style='margin: 0'>This video explains how to write WireMock Stubs.</p></td></tr><tr><td style='padding: 15px;'><p>5. Stub Mapping with 'File' Body</p><p style='margin: 0'>This video demonstrates how to do stub mapping with 'file' body.</p></td></tr><tr><td style='padding: 15px;'><p>6. Recording WireMock Stub Mappings</p><p style='margin: 0'>This video explains recording WireMock stub mappings.</p></td></tr></tbody></table><br><h4>10. Miscellaneous Operations</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Specifying Request Port</p><p style='margin: 0'>This video helps in specifying the request port.</p></td></tr><tr><td style='padding: 15px;'><p>2. Default Configuration Setup in REST Assured</p><p style='margin: 0'>This video is about the default configuration setup in REST Assured.</p></td></tr><tr><td style='padding: 15px;'><p>3. Validating Response Time</p><p style='margin: 0'>This video explains how to validate response time.</p></td></tr><tr><td style='padding: 15px;'><p>4. XML Namespace Validation</p><p style='margin: 0'>This video explains XML namespace validation.</p></td></tr><tr><td style='padding: 15px;'><p>5. Validating Response Using Response Parts</p><p style='margin: 0'>This video explains how to validate response using response parts.</p></td></tr><tr><td style='padding: 15px;'><p>6. Response Aware Matcher</p><p style='margin: 0'>This video talks about response aware matcher.</p></td></tr></tbody></table>

Packt

Java

Postman

Web Development

This course is filled with hands-on and real-time examples to help you understand the concepts and implement them on the go. 75% of the IT industry is now heading toward this API for automating services. Learn everything you need to know about REST API automation, even if you have never worked before in this domain.

Learn REST API Automation Using REST Assured

General Admission

<strong>Learn to code in C++, one of the oldest and most popular programming languages in the market.

This course is created to quickly give you the knowledge and practice you really need to master C++ basics. We will cover core concepts such as variables, arrays, vectors, functions, scope, namespaces, loops, references, prototypes, and more.</strong>
        <p>This course offers a comprehensive approach to learning C++, a language often considered difficult to master but with many advantages over other 'less powerful' programming languages such as Python or JavaScript. The course is divided into four distinct levels, each containing an introduction video, hands-on lessons, and exercises to practice key concepts.

Level 1 covers basic programming concepts such as variables, arrays, vectors, and user input. Level 2 focuses on functions, scope, comments, and namespaces, while Level 3 delves into conditions (if statements) and for and while loops. Level 4 builds on these concepts, introducing references, prototypes, and the compilation from the terminal.

Additionally, the course includes an extra bonus section on Object-Oriented Programming, a skill that is increasingly in demand in the industry. By the end of the course, you will have a solid understanding of how to organize your C++ code with .hpp and .cpp files, as well as the ability to write object-oriented code with C++.</p>
        <h2>What You Will Learn</h2><p>Write clean C++ code from the scratch<br>Learn to use the C++ standard library<br>Learn all about variables, functions, loops, conditions, and more<br>Learn how to configure Visual Studio Code<br>Organize your C++ code with .hpp and .cpp files<br>Create prototypes for your C++ functions</p>
        <h2>Audience</h2><p>This course is for programming beginners who want to start learning C++ with a comprehensive and to-the-point course; for programming beginners who learned another language before and want to switch to C++; for anyone interested in working on video games, embedded software, robotics, artificial intelligence, operating systems, and so on.</p>
        <h2>Approach</h2><p>This is a learn-by-doing course that follows a hands-on approach with no complicated theoretical explanations. With each key concept, you get some exercises to practice on-exactly what you need to understand-so the learning is much more efficient.</p>
        <h2>Key Features</h2><p>Get the fundamentals you need for your next C++ projects * Understand what a reference is and how to use it * Write OOP code with C++ and learn best practices from the start</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Practical-C-Learn-C-Basics-Step-by-Step</p>
        <h2>About the Author</h2><h3>Edouard Renard </h3><p>Edouard Renard is a software engineer, entrepreneur, and robotics teacher. He really enjoys teaching new technologies to people and making complex stuff easy to understand. His method is simple and consists of only three words: step by step. Edouard knows how hard it can be to learn a new topic and just be lost in an ocean of information without knowing what to do. In his courses, he makes sure that you learn one step at a time, through practice, and that you also learn the best practices.

He is passionate about robotics and found that it's amazing how many cool projects you can do with a robot when you have the required programming knowledge.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome</p><p style='margin: 0'>This video introduces you to the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Follow This Course</p><p style='margin: 0'>This video explains how to follow through the course to make the best use of its contents.</p></td></tr><tr><td style='padding: 15px;'><p>3. Install Versus Code on Windows/Linux/MacOS</p><p style='margin: 0'>This video explains install versus code on Windows/Linux and MacOS.</p></td></tr><tr><td style='padding: 15px;'><p>4. Configure Visual Studio Code</p><p style='margin: 0'>This video explains how to configure Visual Studio Code.</p></td></tr><tr><td style='padding: 15px;'><p>5. Create a C++ Project for the Course</p><p style='margin: 0'>This video explains how to create a C++ project for the course.</p></td></tr></tbody></table><br><h4>2. C++ Basics Level 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video introduces you to the section and what to expect out of it.</p></td></tr><tr><td style='padding: 15px;'><p>2. Your First C++ Program</p><p style='margin: 0'>This video explains how to write your first C++ program.</p></td></tr><tr><td style='padding: 15px;'><p>3. Variables</p><p style='margin: 0'>This video explains variables in C++.</p></td></tr><tr><td style='padding: 15px;'><p>4. Variables - Data Types</p><p style='margin: 0'>This video explains variables-data types such as floating number, integers, and so on.</p></td></tr><tr><td style='padding: 15px;'><p>5. Variables - Constants</p><p style='margin: 0'>This video explains variables-constants that cannot be modified in the future.</p></td></tr><tr><td style='padding: 15px;'><p>6. Arrays</p><p style='margin: 0'>This video explains arrays in C++ using an example.</p></td></tr><tr><td style='padding: 15px;'><p>7. Arrays with std:vector</p><p style='margin: 0'>This video explains arrays with std:vector using an example.</p></td></tr><tr><td style='padding: 15px;'><p>8. Get User Input</p><p style='margin: 0'>This video explains how to get user input in C++</p></td></tr><tr><td style='padding: 15px;'><p>9. C++ Level 1: Exercise</p><p style='margin: 0'>This video is an exercise in which you should write a code to ask the user for the name and age and then print the information.</p></td></tr><tr><td style='padding: 15px;'><p>10. C++ Level 1: Exercise - Solution</p><p style='margin: 0'>This video explains the solution for the previous exercise to print the name and age of the user.</p></td></tr></tbody></table><br><h4>3. C++ Basics Level 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video introduces you to the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions</p><p style='margin: 0'>This video explains functions in C++.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions - Parameters</p><p style='margin: 0'>This video explains functions-parameters in C++</p></td></tr><tr><td style='padding: 15px;'><p>4. Functions - Return Statement</p><p style='margin: 0'>This video explains functions-return statement and how to use it in C++.</p></td></tr><tr><td style='padding: 15px;'><p>5. Variable Scope</p><p style='margin: 0'>This video explains variable scope in C++.</p></td></tr><tr><td style='padding: 15px;'><p>6. Comments</p><p style='margin: 0'>This video explains comments in C++.</p></td></tr><tr><td style='padding: 15px;'><p>7. Using Namespace std</p><p style='margin: 0'>This video explains using namespace std in C.</p></td></tr><tr><td style='padding: 15px;'><p>8. C++ Level 2: Exercises</p><p style='margin: 0'>This video is an exercise to rewrite the first exercise using functions and namespace std in C++ .</p></td></tr><tr><td style='padding: 15px;'><p>9. C++ Level 2: Exercises - Solution</p><p style='margin: 0'>This video explains the solution for the previous exercise to write a code using functions and namespace std.</p></td></tr></tbody></table><br><h4>4. C++ Basics Level 3</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video introduces you to the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Statements with Booleans</p><p style='margin: 0'>This video explains conditional statements with Booleans.</p></td></tr><tr><td style='padding: 15px;'><p>3. Combining Conditional Statements</p><p style='margin: 0'>This video explains combining conditional statements.</p></td></tr><tr><td style='padding: 15px;'><p>4. Conditions with If</p><p style='margin: 0'>This video explains conditions with If using an example.</p></td></tr><tr><td style='padding: 15px;'><p>5. Else, Else If</p><p style='margin: 0'>This video explains else and else if using an example.</p></td></tr><tr><td style='padding: 15px;'><p>6. For Loop</p><p style='margin: 0'>This video explains for loop using an example.</p></td></tr><tr><td style='padding: 15px;'><p>7. While Loop</p><p style='margin: 0'>This video explains while loop using an example in C++.</p></td></tr><tr><td style='padding: 15px;'><p>8. Loops and Arrays</p><p style='margin: 0'>This video explains loops and arrays in C++.</p></td></tr><tr><td style='padding: 15px;'><p>9. C++ Level 3: Exercises</p><p style='margin: 0'>This video is an exercise to write code to compute the max value inside a list of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>10. C++ Level 3: Exercises - Solution</p><p style='margin: 0'>This video explains the solution for the previous exercise to compute the max value inside a list of numbers.</p></td></tr></tbody></table><br><h4>5. C++ Basics Level 4</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video introduces you to the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions - Pass Parameters by Copy or by Reference?</p><p style='margin: 0'>This video explains an overview of functions-passing parameters by copy or by reference.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions - Prototypes</p><p style='margin: 0'>This video explains functions-prototypes.</p></td></tr><tr><td style='padding: 15px;'><p>4. Organize Your Code (.hpp and .cpp Files)</p><p style='margin: 0'>This video explains organizing your code (.hpp and .cpp files).</p></td></tr><tr><td style='padding: 15px;'><p>5. Compile and Run a C++ Program in the Terminal</p><p style='margin: 0'>This video explains compiling and running a C++ program in the terminal.</p></td></tr><tr><td style='padding: 15px;'><p>6. C++ Level 4: Exercises</p><p style='margin: 0'>This video explains how to put two existing functions in a different file.</p></td></tr><tr><td style='padding: 15px;'><p>7. C++ Level 4: Exercises - Solution</p><p style='margin: 0'>This video explains the solution for the previous exercise.</p></td></tr></tbody></table><br><h4>6. Extra: C++ OOP</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video introduces you to OOP.</p></td></tr><tr><td style='padding: 15px;'><p>2. What Is OOP, What Are Classes?</p><p style='margin: 0'>This video explains OOP and classes.</p></td></tr><tr><td style='padding: 15px;'><p>3. Create a C++ Class - Attributes, Constructor</p><p style='margin: 0'>This video explains how to create a C++ class-attributes, constructor.</p></td></tr><tr><td style='padding: 15px;'><p>4. Add Methods to the Class</p><p style='margin: 0'>This video explains how to add methods to the class.</p></td></tr><tr><td style='padding: 15px;'><p>5. Create an Object (Instance) from Your Class</p><p style='margin: 0'>This video explains how to create an object (instance) from your class.</p></td></tr><tr><td style='padding: 15px;'><p>6. Organize Your C++ OOP Code</p><p style='margin: 0'>This video explains how to organize your C++ OOP code.</p></td></tr><tr><td style='padding: 15px;'><p>7. Introduction to Inheritance</p><p style='margin: 0'>This video introduces you to the concept of inheritance in C++.</p></td></tr></tbody></table><br><h4>7. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Best Practices When Writing C++ Code</p><p style='margin: 0'>This video explains best practices when writing C++ code.</p></td></tr><tr><td style='padding: 15px;'><p>2. What to Do Next</p><p style='margin: 0'>This video explains what to do next once this course is completed.</p></td></tr></tbody></table>

Programming

Learn to code in C++, one of the oldest and most popular programming languages in the market.

This course is created to quickly give you the knowledge and practice you really need to master C++ basics. We will cover core concepts such as variables, arrays, vectors, functions, scope, namespaces, loops, references, prototypes, and more.

Practical C++: Learn C++ Basics Step by Step

<strong>In this course, you will learn to create effective visualizations for different stakeholders with the Splunk web framework, utilize tokens and event handlers, explore SDKs, interact with REST APIs, and build a test lab for log analysis and incident response.</strong>
        <p>Splunk offers extensive flexibility in the enterprise edition to help developers build robust applications. The development in Splunk path will equip you with the necessary knowledge and skills to build enterprise-grade applications by utilizing the best of what the platform has to offer, taking your foundational knowledge to more advanced levels. In this course, we will be exploring Splunk application planning, understanding and preparing data, creating apps and visualizations, result validation, and advanced release/management options.

The course starts with setting up Splunk on the cloud and locally, and choosing the right platform for you. Then, you'll learn the features, components, types, and more about Splunk through this course. After that, you'll learn about Splunk apps and how to create them along with integrating data inputs, and maintaining them. Post that, you'll look at Splunk's REST API, SDK, and KV-Store. You'll explore the HTTP Event Collector (HEC).
Finally, in the last section, you'll use this knowledge to build a Splunk web application.

By the end of this course, you'll be able to create effective visualizations for different stakeholders with the Splunk web framework, utilize tokens and event handlers, explore SDKs, interact with REST APIs, and build a test lab for log analysis and incident response.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Splunk-for-Beginners-Make-the-Most-of-Machine-Data-Using-Splunk</p>
        <h2>What You Will Learn</h2><p>Set up the environment<br>Look at the features of Splunk<br>Learn about the Splunk REST API<br>Use tokens, event handlers, and custom visualizations<br>Explain how REST APIs and the KV Store work<br>Plan and create secure apps within the Splunk web framework</p>
        <h2>Audience</h2><p>This course will be highly beneficial for individuals familiar with Splunk and who lack experience with enterprise administration options. Software developers, system administrators, search analysts, security professionals, and database administrators will also benefit and learn in-depth about the Splunk web framework.</p>
        <h2>Approach</h2><p>This course is a blend of practical and theory videos in order to keep the concepts easy to digest and simultaneously execute. It is a concise yet complete course that helps you build your web application.</p>
        <h2>Key Features</h2><p>Build the web application from scratch * Get access to all the resources used to build a web application * Create dashboards and forms to meet organizational needs</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Splunk-for-Beginners-Make-the-Most-of-Machine-Data-Using-Splunk</p>
        <h2>About the Author</h2><h3>Cyber Academy</h3><p>Cyber Academy is one of the leading institutions in the Southeast Europe region to provide a hands-on program that dives deep into different subjects of technology using 'Learn by Doing' methods. Their students are more focused on practical knowledge and skill development than pure theory. Their primary focus is cybersecurity, blockchain, and artificial intelligence.</p>
        <h2>Course Outline</h2><h4>1. Getting started with Splunk</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Splunk?</p><p style='margin: 0'>This video provides a brief introduction of the main capabilities of Splunk. In order to understand this thoroughly, we'll learn about machine data.</p></td></tr><tr><td style='padding: 15px;'><p>2. Setting Up Splunk Locally</p><p style='margin: 0'>In this video, you'll be setting up Splunk locally. This video will be entirely hands-on; we will walk you through every step you need to set up Splunk locally.</p></td></tr><tr><td style='padding: 15px;'><p>3. Setting Up Splunk Cloud</p><p style='margin: 0'>In this video, you'll be setting up Splunk Cloud. This video will be hands-on, and we will be walking you through every step you need to do.</p></td></tr><tr><td style='padding: 15px;'><p>4. Choosing the Right Platform</p><p style='margin: 0'>This video explains the difference between Splunk Cloud and on-premises. Information shared in this video will help to decide if you want to set up Splunk Cloud or locally.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Development Tools</p><p style='margin: 0'>In this video, you'll be installing development tools. This video will be hands-on, and we will walk you through the entire process of installing the development tools.</p></td></tr></tbody></table><br><h4>2. Introduction to Splunk</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Splunk Enterprise Features</p><p style='margin: 0'>In this video, you'll be looking at Splunk enterprise features. you'll be learning about the dashboard and visualizations of data, how we monitor and report data and utilization of metrics data to boost search performance. Finally, you'll be exploring Splunk Search Processing Language (SPL).</p></td></tr><tr><td style='padding: 15px;'><p>2. Exploring Splunk Enterprise</p><p style='margin: 0'>In this video, you'll be focusing on uploading data and indexing. You'll learn how indexers and uploading works, explore the Add Data page in the Splunk web and talk about the importance of forwarders.</p></td></tr><tr><td style='padding: 15px;'><p>3. Splunk Enterprise Processing Components</p><p style='margin: 0'>In this video, you'll dive deeper into forwarders. There are three kinds of forwarders, and each of these forwarders has a part in Splunk enterprise. You'll also learn about indexers, search heads and deployment servers.</p></td></tr><tr><td style='padding: 15px;'><p>4. Splunk Enterprise Managing Components</p><p style='margin: 0'>In this video, you'll look at the license master, monitoring console and deployment server. You'll also take a deep look into the monitoring console and deployment server.</p></td></tr><tr><td style='padding: 15px;'><p>5. Splunk Deployment Types</p><p style='margin: 0'>In this video, you'll take a look at Splunk deployment types. Single-instance deployments and distributed deployments will be the key topics. You'll also be learning about small, medium and large enterprise.</p></td></tr><tr><td style='padding: 15px;'><p>6. Splunk Enterprise Users and Administration</p><p style='margin: 0'>In this video, you'll be discussing the five primary personas that use Splunk enterprise; capacity requirements; and a thorough explanation of the backups. After that, you'll analyze the steps of upgrading Splunk enterprise.</p></td></tr><tr><td style='padding: 15px;'><p>7. Splunk Enterprise Security</p><p style='margin: 0'>In this video, you'll be exploring the world of Splunk enterprise security. You'll start with user authentication and continue with important topics such as transport security, forwarder security, auditing Splunk activity, SSO with Splunk and LDAP integration.</p></td></tr><tr><td style='padding: 15px;'><p>8. Splunk Enterprise Troubleshooting and Optimization</p><p style='margin: 0'>In the last video, you'll study basic troubleshooting and optimization, and go through the Splunk enterprise logs one by one, and finally learn about the license violations.</p></td></tr></tbody></table><br><h4>3. Building Splunk Apps</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What are Splunk Apps?</p><p style='margin: 0'>In this video, you'll be discussing Splunk apps: where Splunk apps are hosted, what Splunk add-ons are, and use cases of why you should make a Splunk app.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating the First Splunk App</p><p style='margin: 0'>In this video, you'll be going through the process of creating a Splunk app, creating dashboards, SplunkJS and creating files on the Splunk app.</p></td></tr><tr><td style='padding: 15px;'><p>3. Integrating Data Inputs</p><p style='margin: 0'>In this video, you'll take a deep dive into integrating data inputs. You'll look at how structured data and network security data work, the data input methods, network events, HTTP event collector, universal forwarders and heavy forwarders.</p></td></tr><tr><td style='padding: 15px;'><p>4. Release and Maintain Splunk Apps</p><p style='margin: 0'>In this video, you'll be learning when apps should be deployed. You'll explore how Splunk app packages are deployed; cloud vet and release; how managing private apps in Splunk Cloud works; and how to uninstall the private app in Splunk Cloud. Through different diagrams, you'll visualize some of the processes.</p></td></tr></tbody></table><br><h4>4. Developing with Splunk's REST API</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Splunk REST API</p><p style='margin: 0'>In this video, you'll be learning Splunk REST API. Request methods, encoding schema and interacting with the API.</p></td></tr><tr><td style='padding: 15px;'><p>2. Splunk SDK</p><p style='margin: 0'>In this video, you'll look at Splunk SDK. You'll understand the importance of authentication and authorization, the process of searching in different modes and to display search results.</p></td></tr><tr><td style='padding: 15px;'><p>3. Splunk KV-Store</p><p style='margin: 0'>In this video, you'll learn about the KV-Store or App Key-Value store. You'll see what KV-Store is used for, how we create KV collections, lookup and output lookup.</p></td></tr><tr><td style='padding: 15px;'><p>4. Splunk HTTP Event Collector (HEC)</p><p style='margin: 0'>In this video, you'll learn about HTTP Event Collector (HEC). You'll understand how data is sent to the HEC and logging libraries (JS).</p></td></tr></tbody></table><br><h4>5. Assembling the Pieces</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Building a Splunk Web Application</p><p style='margin: 0'>In this video, you'll build a web application using Splunk. Python and Flask microframework will also be used. This app will enable the user to interact with the visualized data; like all other web applications, the standard templates will be used along with CSS to style web pages to build this app.</p></td></tr></tbody></table>

Data Visualization

Splunk

In this course, you will learn to create effective visualizations for different stakeholders with the Splunk web framework, utilize tokens and event handlers, explore SDKs, interact with REST APIs, and build a test lab for log analysis and incident response.

Splunk for Beginners: Make the Most of Machine Data Using Splunk

<p><strong>You don't have to search for jobs. Jobs will find you- if you master Microsoft Power BI!</strong></p><p>Our hands-on guided learning approach will teach you how to analyse data professionally and quickly create impressive reports. This Microsoft Power BI course will help you better understand data and make efficient data-driven decisions in a step-by-step process.</p><p>MS/ Microsoft Power BI is a sophisticated yet simple-to-use self-service business analytics/business intelligence solution provided by Microsoft that is currently in high demand. Enrol now to gain in-depth knowledge, improve your skills, and become a <strong>Pro </strong>in this field!</p><p>Are you ready to discover how to use this incredible tool to deliver stunning data insights for your business? Enrol now without having a second thought! We promise you won't regret it.</p><p><strong>Learning outcomes</strong></p><p>After completing this Microsoft Power BI course, you will be able to</p><ul><li>Create a data model</li></ul><ul><li>Learn all important tools and know how to use them properly</li></ul><ul><li>Utilise the DAX function to perform advanced calculations</li></ul><ul><ul><li>Use advanced features to help you delve deeper into Power BI.</li><li>Take insightful decisions based on robust data</li></ul></ul><ul><li>Implement a row-level security concept to control access to the data</li></ul><p><strong>Why People Enrol this Microsoft Power BI Masterclass 2021 Course From One Education:</strong></p><ul><li>Eligibility for an endorsed certificate upon successful completion of the course</li><li>Learning materials of our Microsoft Power BI Masterclass 2021 course contain engaging voiceover and visual elements for your comfort</li><li>Get 24/7 access to all Microsoft Power BI Masterclass 2021 course content for a full year</li><li>Complete the course at your own pace</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li><li>Efficient assessments and instant results upon completion of our Microsoft Power BI Masterclass 2021 course</li></ul><p>Microsoft Power BI is a technology-driven business intelligence tool that analyses and visualises raw data to present actionable information. It combines business analytics, data visualisation, and best practises to assist businesses in making data-driven decisions.</p><p>Business intelligence/ Business analytics are in high demand these days. Companies are always looking for ways to make better, faster, and smarter decisions. As a result, they rely heavily on data. Due to that, businesses are increasing their efforts to find skilled employees and freelancers with the necessary capabilities to assist with data analysis and create valuable, highly profitable insights.</p><p>This Microsoft Power BI course has been meticulously created by our experts and will undoubtedly assist you in taking your career to the next level and flourishing in your respective job sector.</p><p><strong>Course Curriculum:</strong></p><p>Here is a curriculum breakdown of the Microsoft Power BI Masterclass 2021 course:</p><ul><li>Section 01: Introduction</li><li>Section 02: Preparing our Project</li><li>Section 03: Data Transformation - The Query Editor</li><li>Section 04: Data Transformation - Advanced</li><li>Section 05: Creating a Data Model</li><li>Section 06: Data Visualization</li><li>Section 07: Power BI &amp; Python</li><li>Section 08: Storytelling with Data</li><li>Section 09: DAX - The Essentials</li><li>Section 10: DAX - The CALCULATE function</li><li>Section 11: Power BI Service - Power BI Cloud</li><li>Section 12: Row-Level Security</li><li>Section 13: More data sources</li><li>Section 14: Next steps to improve &amp; stay up to date</li></ul><p><strong>How is the Microsoft Power BI Masterclass 2021 Course assessed?</strong></p><p>To simplify the procedure of evaluation and acknowledgement for learners, we provide an automated assessment system. For each test, the pass mark will be set to 60%.</p><p><strong>Certificate of Achievement</strong></p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the Microsoft Power BI Masterclass 2021 course, learners will be able to order an endorsed certificate as proof of their achievement. The hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying -</p><ul><li><strong>Within the UK: £129</strong></li><li><strong>International: £129+ £10 (postal charge) = £139</strong></li></ul><p><strong>CPD QS </strong><strong>Acknowledged</strong> Certificate <strong>from One Education</strong></p><p>After successfully completing this Microsoft Power BI Masterclass 2021 course, you will qualify for the <strong>CPD QS </strong>acknowledged certificate from One Education as proof of your continued expert development. Certificate is available in both PDF &amp; hardcopy format, which can be received by paying -</p><ul><li><strong>PDF Certificate: £9</strong></li><li><strong>Hardcopy Certificate (within the UK): £15</strong></li><li><strong>Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        180 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>The Microsoft Power BI Masterclass training is ideal for highly motivated individuals or groups looking to improve their professional skills and efficiently skilled employees.</p><p>This Microsoft Power BI course is also ideal for those who</p><ul><li>Want to pursue a career as a data analyst, data scientist or BI consultant</li><li>Have an interest in Microsoft Power BI taking their skills to the next level</li><li>Are seeking to gain a competitive advantage in the world of tomorrow</li><li>Are CEOs or CIOs who want to gain valuable insights from various data sources to make impactful business decisions</li><li>Have never used Power BI before and is looking for a hands-on approach to learning it</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no specific prerequisites to enrol in this course. <strong>Anyone and everyone</strong> can take this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Microsoft Power BI usage may differ from company to company, so choose the appropriate company based on the job description. You could also pursue a variety of career paths, such as:</p><ul><li>Data Analyst</li><li>Business Intelligence (BI) Developer</li><li>Software Engineer</li><li>Business Intelligence (BI) Analyst</li></ul>
                        </div>

One Education

Microsoft Power BI Masterclass 2021 Course

<strong>Learn to use Fusion 360 for large 3D print projects confidently, real-life model objects like a phone, and design 3D print parts to fit them precisely. Learn to create multiple 3D print parts that interact together, such as hinges, click systems, and more. Acquire 3D modeling knowledge to use these production methods and create unique designs.</strong>
        <p>3D printing or additive manufacturing lets you construct a 3D object from a CAD or digital 3D model. It can be done in various processes in which material is deposited, joined, or solidified under computer control. The material is added together (plastics, liquids, or powder grains fused) layer by layer.

With this project-based course, you will acquire a useful and valuable set of tools and techniques to advance your designs to the next level while creating fun and applicable 3D printable models for your phone. The major skills you will learn include replicating real-life objects (such as a phone) in 3D and creating 3D print parts to fit these real-life objects precisely (a phone case). You will learn various methods to design and implement movement and interaction between 3D print parts through hinges, sliders, snap joints, click systems, and so on. You will also explore slightly more advanced features within Fusion 360, such as parametric modeling, surface modeling, 3D sketching, and importing pictures or meshes as references in your designs.

Upon completion of the course, you will be able to understand the advanced concepts of 3D printing, such as parametric modeling, surface modeling, 3D sketching, and rendering your designs. You will print objects you created through the course and manage 3D printing independently.

All resources are available at: https://github.com/PacktPublishing/Advanced-3D-Printing-with-Fusion-360---Design-Your-Phone-Case</p>
        <h2>What You Will Learn</h2><p>Learn to model a phone using technical drawings<br>Create simple and hinged phone cases and model attachment clips<br>Learn to develop a grip attachment<br>Develop a foldable tripod attachment<br>Create hinges, sliders, snap joints, and click systems using 3D printing<br>Understand how to render the projects you created</p>
        <h2>Audience</h2><p>This course is designed for someone interested in 3D printing or laser cutting. Individuals interested in 3D modeling using Fusion 360 and even industrial designers that use software to design and print models would benefit from this course. The prerequisites include some experience of Fusion 360.</p>
        <h2>Approach</h2><p>The course is delivered in a demonstrative and on-screen presentative mode with explanations and images on 3D printing and creating objects using the Fusion 360 software. A final project work of creating an object with advanced features is added to help you practically understand what you learned by creating a complex object.</p>
        <h2>Key Features</h2><p>Replicate real-life objects (phone) in 3D, create 3D print parts to fit these real-life objects (phone case) * Use Fusion 360 to explore parametric modeling, surface modeling, 3D sketching, and rendering prints * Create multiple 3D print parts that interact together (hinges, click systems, and more)</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Advanced-3D-Printing-with-Fusion-360---Design-Your-Phone-Case</p>
        <h2>About the Author</h2><h3>Larno Visser</h3><p>Larno Visser, an industrial designer from the Netherlands, graduated university specializing in 3D modeling; he uses modern manufacturing methods like 3D printing and laser cutting. Larno has worked with several businesses using these production methods to create incredible designs. He has vast experience tutoring people in 3D modeling with his courses on 3D modeling.

Desainers - Teaching AI is teamed by Juul and Larno. While Juul is an AI master student, the brains behind the courses, Larno is an experienced Udemy instructor and entrepreneur, creating the actual course materials. Together, they help many individuals ride the new AI technology wave and prepare them to exploit the latest tools, regardless of their background or experience.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section introduces the concepts you will learn through this course, including what we will create, an overview of Fusion 360, and what to expect from this course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, we will look at an introductory overview of the concepts covered in this course, including what we can do with the Fusion 360 software and what you will learn from this course. This will be a project-based course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Your Phone into Fusion</p><p style='margin: 0'>In this video, you will learn to create a phone case, but first, we will begin creating the phone using 3D printing.</p></td></tr><tr><td style='padding: 15px;'><p>3. Modeling a Phone with Technical Drawings</p><p style='margin: 0'>In this video, you will learn to use technical drawings provided by Apple to create an iPhone XR, which is the model we will use throughout this course.</p></td></tr></tbody></table><br><h4>2. Creating the Phone Case</h4><p>This section focuses on creating the phone case. You will learn to create simple and hinged phone cases and learn to model an attachment clip.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating a Simple Phone Case</p><p style='margin: 0'>This video demonstrates how to create a simple phone case for the Apple iPhone XR model, for which we will use the technical drawings.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating a Hinged Phone Case</p><p style='margin: 0'>In this video, we will look at creating a hinged phone case for the iPhone XR model, which will be the project for the remainder of this course.</p></td></tr><tr><td style='padding: 15px;'><p>3. Upgrading the Hinged Case</p><p style='margin: 0'>After learning to create a simple case, we will now up the ante and learn to create a hinged phone case for the iPhone XR model with flips and hinges.</p></td></tr><tr><td style='padding: 15px;'><p>4. Modeling the Attachment Clip</p><p style='margin: 0'>After 3D printing the case we created in the previous lesson, you will learn to create an attachment clip to add features to the phone case.</p></td></tr></tbody></table><br><h4>3. The Grip - Attachment</h4><p>This section focuses on creating a grip attachment to fit on the back of the phone case as an additional feature.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating the Grip Attachment</p><p style='margin: 0'>In this video, we will create the grip attachment to the iPhone XR model phone case and design it for attaching it to the back of the case as an additional feature to clip it to clothing.</p></td></tr><tr><td style='padding: 15px;'><p>2. Finishing the Grip Attachment</p><p style='margin: 0'>In this video, we will create the attachment system for the grip to be attachable to the phone case.</p></td></tr></tbody></table><br><h4>4. The Foldable Tripod - Attachment</h4><p>This section focuses on designing and creating a foldable tripod attachment and finishing and upgrading the foldable tripod.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating the Tripod Attachment</p><p style='margin: 0'>In this lesson, we will create the second and final attachment to the phone case, a foldable tripod attachment.</p></td></tr><tr><td style='padding: 15px;'><p>2. Finishing and Upgrading the Tripod</p><p style='margin: 0'>In this demonstration, you will learn to make changes to the tripod stand and create extra grips and features to the tripod stand to enhance its functionality.</p></td></tr></tbody></table><br><h4>5. Render + Conclusion</h4><p>This section focuses on rendering our design. You will learn to render and print the phone case, the hand grip, and the foldable tripod stand attachment.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Rendering the Project</p><p style='margin: 0'>In this final course video, you will learn to render the items we created-the Apple iPhone XR model phone case, the hand grip for the phone case, and the foldable tripod stand attachment.</p></td></tr><tr><td style='padding: 15px;'><p>2. Conclusion</p><p style='margin: 0'>This video outlines a thank-you note from the instructor and a final demonstration on how to change the attachment system to be oriented horizontally.</p></td></tr></tbody></table>

3D Printing

Python

TensorFlow

Fusion 360

Learn to use Fusion 360 for large 3D print projects confidently, real-life model objects like a phone, and design 3D print parts to fit them precisely. Learn to create multiple 3D print parts that interact together, such as hinges, click systems, and more. Acquire 3D modeling knowledge to use these production methods and create unique designs.

Advanced 3D Printing with Fusion 360 - Design Your Phone Case

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Are you looking to elevate your professional skills to new heights? Introducing our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Statistics for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">,</strong> a<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> QLS-endorsed</strong> course bundle that sets a new standard in online education. This prestigious endorsement by the Quality Licence Scheme (QLS) is a testament to the exceptional quality and rigour of our course content. The bundle comprises <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">11 CPD-accredited courses</strong>, each meticulously designed to meet the highest standards of learning. This endorsement not only highlights the excellence of our courses but also assures that your learning journey is recognised and valued in the professional world.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The purpose of Statistics for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma is to provide learners with a comprehensive, skill-enriching experience that caters to a variety of professional needs. Each course within the bundle is crafted to not only impart essential knowledge but also to enhance practical skills, ensuring that learners are well-equipped to excel in their respective fields. From gaining cutting-edge industry insights to mastering critical thinking and problem-solving techniques, this bundle is an amalgamation of learning experiences that are both enriching and empowering.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Moreover, <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Statistics for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma </strong>goes beyond just online learning. Upon completion of the bundle, learners will receive <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">a free QLS Endorsed Hardcopy Certificate &amp; 11 CPD Accredited PDF Certificate</strong>, a tangible acknowledgement of their dedication and hard work. This certificate serves as a powerful tool in showcasing your newly acquired skills and knowledge to potential employers. So, why wait? Embark on this transformative learning journey today and unlock your potential with Statistics for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This premium bundle comprises the following courses,</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Course: </strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01:</strong> Statistics &amp; Probability for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD QS Accredited Courses:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02:</strong> Statistical Concepts and Application with R</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03:</strong> Learn Financial Analytics and Statistical Tools</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:</strong> Statistical Analysis</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05:</strong> Quick Data Science Approach from Scratch</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06:</strong> Complete Python Machine Learning &amp; Data Science Fundamentals</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07:</strong> Mathematics Fundamentals - Percentages</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08:</strong> Mathematics Fundamentals</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 09:</strong> Computer Simulation of Realistic Mathematical Models</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 10:</strong> Mastering Microsoft Office: Word, Excel, PowerPoint, and 365</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 11:</strong> Decision Making and Critical Thinking</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 12: </strong>Time Management Training - Online Course</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Upon completion of the bundle, you will be able to:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Acquire industry-relevant skills and up-to-date knowledge.</li><li fr-original-style="" style="box-sizing: border-box;">Enhance critical thinking and problem-solving abilities.</li><li fr-original-style="" style="box-sizing: border-box;">Gain a competitive edge in the job market with QLS-endorsed certification.</li><li fr-original-style="" style="box-sizing: border-box;">Develop a comprehensive understanding of Data Science &amp; Machine Learning.</li><li fr-original-style="" style="box-sizing: border-box;">Master practical application of theoretical concepts.</li><li fr-original-style="" style="box-sizing: border-box;">Improve career prospects with CPD-accredited courses.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Statistics for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma</strong>offers an unparalleled learning experience endorsed by the Quality Licence Scheme (QLS). This endorsement underlines the quality and depth of the courses, ensuring that your learning is recognised globally. The bundle includes 11 CPD-accredited courses, each meticulously designed to cater to your professional development needs. Whether you&#39;re looking to gain new skills, enhance existing ones, or pursue a complete career change, this bundle provides the tools and knowledge necessary to achieve your goals.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Quality Licence Scheme (QLS) endorsement further elevates your professional credibility, signalling to potential employers your commitment to excellence and continuous learning. The benefits of this course are manifold - from enhancing your resume with a QLS-endorsed certification to developing skills directly applicable to your job, positioning you for promotions, higher salary brackets, and a broader range of career opportunities.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Embark on a journey of professional transformation with Statistics for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma today and seize the opportunity to stand out in your career. Enrol in Data Science &amp; Machine Learning now and take the first step towards unlocking a world of potential and possibilities. Don&#39;t miss out on this chance to redefine your professional trajectory!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certificate of Achievement:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS-endorsed</strong> courses are designed to provide learners with the skills and knowledge they need to succeed in their chosen field.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Quality Licence Scheme</strong> is a distinguished and respected accreditation in the UK, denoting exceptional quality and excellence. It carries significant weight among industry professionals and recruiters.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Upon completion, learners will receive a <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Free Premium QLS Endorsed Hard Copy Certificate</strong> titled &#39;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Statistics &amp; Probability for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma</strong>&#39; <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&amp; 11 Free CPD Accredited PDF Certificates</strong>. These certificates serve to validate the completion of the course, the level achieved, and the QLS endorsement.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Please Note:</strong> NextGen Learning is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        180 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Statistics for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma bundle is ideal for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to enhance their skills and knowledge.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals aiming for career advancement or transition.</li><li fr-original-style="" style="box-sizing: border-box;">Those seeking CPD-accredited certification for professional growth.</li><li fr-original-style="" style="box-sizing: border-box;">Learners desiring a QLS-endorsed comprehensive learning experience.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2>

                        <div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">You are cordially invited to enroll in this bundle; please note that there are no formal prerequisites or qualifications required. We&#39;ve designed this curriculum to be accessible to all, irrespective of prior experience or educational background.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Upon completing the Statistics for Data Science &amp; Machine Learning at QLS Level 7 Advanced Diploma course bundle, each offering promising prospects and competitive salary ranges. Whether you aspire to climb the corporate ladder in a managerial role, delve into the dynamic world of marketing, explore the intricacies of finance, or excel in the ever-evolving field of technology.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Free 11 CPD Accredited PDF Certificates.</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">QLS Endorsed Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            Included
        </p>

                        </div>

NextGen Learning

Learning & Development

Time Management

Professional Skills Course (PSC)

Microsoft Office

Decision Making

Diploma in Management Studies (DMS)

Diploma in Professional Studies (DPS)

Institute of Leadership & Management (ILM)

ICDL (International Certification of Digital Literacy)

Statistics for Data Science & Machine Learning at QLS Level 7 Advanced Diploma - 12 Courses Bundle

<strong>This course focuses on building the application and static website with the help of Next.js. Next.js is written on JavaScript, therefore, the individual will learn to develop the full-stack application CRUD, pagination, authentication, and more.</strong>
        <p>Next.js is a framework for building server-side rendered React websites as well as static websites. This is a project-based course for learning Next.js. You'll build a music events application that will give you the foundational knowledge that you need to create your own applications. You'll use Strapi as our backend, but you could just as well use anything.

The course starts with learning the fundamentals of Next.js like pages and routing, data fetching methods, custom API routes, static generation, CSS styling, and image optimization.

While working on the main project, you will also be working with Strapi CMS, authentication with JSON Web Tokens, authorization and access control, storing HttpOnly cookies on the server, pagination, search filters, and more, image uploading with Cloudinary integration, and deploying to Vercel and Heroku.

The second project is a static blog using Next.js called DevSpace, where you will work with Tailwind CSS integration, static data fetching/generation, create, fetch and parse markdown with Frontmatter, search functionality with API route/serverless function, post caching, Git Hooks with Husky, and deploy to Vercel.

By the end of this course, you will be able to create two different websites: Music Event Website and DevSpace (static blog) using Next.js and various other tools from development to deployment.

The code files and resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Next.js-from-Development-to-Deployment-Build-a-Music-Event-Website</p>
        <h2>What You Will Learn</h2><p>Learn the fundamentals of Next.js<br>Create a backend using Strapi CMS<br>Pagination, search, image uploading with Cloudinary<br>Deploy to production using Vercel and Heroku<br>Integrate Git Hooks with Husky<br>JWT authentication/HttpOnly cookie storage</p>
        <h2>Audience</h2><p>The course is better suited for the individual who is comfortable with JavaScript basics and modern JavaScript features such as arrow functions, restructuring, and the spread operator. The course requires some basics of React; the course does not have the explanation of a few things such as components, props, and JSX.<br><br>This course will help anyone who wants to learn Next.js and develop websites along with backend support.</p>
        <h2>Approach</h2><p>The course comes bundled with a hands-on project that directly jumps to the practical content, which helps the individual reinforce their learning and develop websites as intended.<br><br>The course is designed to build two different websites right from development to deployment along with backend support.</p>
        <h2>Key Features</h2><p>Build a music event application from start to finish * Build a static blog with pagination, search, and categories using markdown * Learn to build a full-stack application with CRUD, pagination, authentication, and more</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Next.js-from-Development-to-Deployment-Build-a-Music-Event-Website</p>
        <h2>About the Author</h2><h3>Brad Traversy</h3><p>Brad Traversy has been programming for around 12 years and teaching for almost 5 years. He is the owner of Traversy Media, which is a successful web development YouTube channel and specializes in everything from HTML5 to front-end frameworks such as Angular as well as server-side technologies such as Node.js, PHP, and Python. Brad has mastered explaining overly complex topics in a simple manner that is understandable. Invest in your knowledge by watching Brad's courses.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to the Course</p><p style='margin: 0'>This is an overview video about this course.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Next.js?</p><p style='margin: 0'>This video provides an information about Next.js.</p></td></tr><tr><td style='padding: 15px;'><p>3. Main Project Overview</p><p style='margin: 0'>This video demonstrates the overview of the main project.</p></td></tr><tr><td style='padding: 15px;'><p>4. Environment and Tools</p><p style='margin: 0'>This video demonstrates the environment and tools required for this course.</p></td></tr></tbody></table><br><h4>2. Next.js Fundamentals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating a Next.js App</p><p style='margin: 0'>This video explains the steps to create a Next.js app.</p></td></tr><tr><td style='padding: 15px;'><p>2. Pages and Routing</p><p style='margin: 0'>This video explains pages and routing options.</p></td></tr><tr><td style='padding: 15px;'><p>3. Next Link and Router</p><p style='margin: 0'>This video demonstrates the link and router option.</p></td></tr><tr><td style='padding: 15px;'><p>4. Head Tags and Layout</p><p style='margin: 0'>This video explains the head tag and layout.</p></td></tr><tr><td style='padding: 15px;'><p>5. S Header and Footer</p><p style='margin: 0'>This video explains the header and footer options.</p></td></tr><tr><td style='padding: 15px;'><p>6. Custom 404 Page</p><p style='margin: 0'>This video shows the custom 404 page.</p></td></tr><tr><td style='padding: 15px;'><p>7. Module Aliases with jsconfig</p><p style='margin: 0'>This video explains module aliases with jsconfig.</p></td></tr><tr><td style='padding: 15px;'><p>8. Showcase Component</p><p style='margin: 0'>This video helps showcase component.</p></td></tr></tbody></table><br><h4>3. Data Fetching</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. API Routes</p><p style='margin: 0'>This video talks about API routes.</p></td></tr><tr><td style='padding: 15px;'><p>2. getServerSideProps and getStaticProps</p><p style='margin: 0'>This video explains the date fetching methods: getServerSideProps and getStaticProps.</p></td></tr><tr><td style='padding: 15px;'><p>3. Displaying Events</p><p style='margin: 0'>This video focuses on displaying events.</p></td></tr><tr><td style='padding: 15px;'><p>4. getStaticPaths</p><p style='margin: 0'>This video focuses on getStaticPaths.</p></td></tr><tr><td style='padding: 15px;'><p>5. Single Event Page</p><p style='margin: 0'>This video explains the single event page.</p></td></tr></tbody></table><br><h4>4. Strapi Backend</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Strapi CMS Setup</p><p style='margin: 0'>This video provides the setup of Strapi CMS.</p></td></tr><tr><td style='padding: 15px;'><p>2. Cloudinary for Images</p><p style='margin: 0'>This video demonstrates the use of Cloudinary for images.</p></td></tr><tr><td style='padding: 15px;'><p>3. Event Content Type</p><p style='margin: 0'>This video explains the event content type.</p></td></tr></tbody></table><br><h4>5. Events Functionality - Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Connecting to the Strapi API</p><p style='margin: 0'>This video shows how to get connected to the Strapi API.</p></td></tr><tr><td style='padding: 15px;'><p>2. Search Page Using Filters</p><p style='margin: 0'>This video shows how to search page using filters.</p></td></tr><tr><td style='padding: 15px;'><p>3. Search Component</p><p style='margin: 0'>This video explains how to search component.</p></td></tr><tr><td style='padding: 15px;'><p>4. Add Event Page</p><p style='margin: 0'>This video explains how to add event page.</p></td></tr><tr><td style='padding: 15px;'><p>5. Event Submit and React Toastify</p><p style='margin: 0'>This video explains event submit and React Toastify.</p></td></tr><tr><td style='padding: 15px;'><p>6. Create a Slug</p><p style='margin: 0'>This video explains how to create a slug.</p></td></tr></tbody></table><br><h4>6. Events Functionality - Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Delete Events</p><p style='margin: 0'>This video explains how to delete events.</p></td></tr><tr><td style='padding: 15px;'><p>2. Edit Event and Image Preview</p><p style='margin: 0'>This video explains how to edit event and image preview.</p></td></tr><tr><td style='padding: 15px;'><p>3. Modal Component</p><p style='margin: 0'>This video explains how to add modal component.</p></td></tr><tr><td style='padding: 15px;'><p>4. Image Upload</p><p style='margin: 0'>This video demonstrates how to upload image.</p></td></tr><tr><td style='padding: 15px;'><p>5. Events Pagination</p><p style='margin: 0'>This video talks about events pagination.</p></td></tr></tbody></table><br><h4>7. Authentication, JWT, and HttpOnly Cookies</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Register and Login Forms</p><p style='margin: 0'>This video explains how to register and login forms.</p></td></tr><tr><td style='padding: 15px;'><p>2. Auth Context</p><p style='margin: 0'>This video focusses on Auth Context.</p></td></tr><tr><td style='padding: 15px;'><p>3. Our JWT Strategy Explained</p><p style='margin: 0'>This video explores the JWT strategy.</p></td></tr><tr><td style='padding: 15px;'><p>4. Login and Get JWT</p><p style='margin: 0'>This video explains the login and get JWT authentication/authorization.</p></td></tr><tr><td style='padding: 15px;'><p>5. Store JWT in Server HttpOnly Cookie</p><p style='margin: 0'>This video explains how to store JWT in server HttpOnly cookie.</p></td></tr><tr><td style='padding: 15px;'><p>6. Persist Logged In User</p><p style='margin: 0'>This video explains how to persist logged in user.</p></td></tr><tr><td style='padding: 15px;'><p>7. Logout and Destroy Cookie</p><p style='margin: 0'>This video explains about the logout and destroy cookie.</p></td></tr><tr><td style='padding: 15px;'><p>8. Register User</p><p style='margin: 0'>This video explains how to register user.</p></td></tr></tbody></table><br><h4>8. Authorization and Access</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Custom User Events Endpoint</p><p style='margin: 0'>This video talks about custom user events endpoint.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting User Events for Dashboard</p><p style='margin: 0'>This video explains how to get user events for dashboard.</p></td></tr><tr><td style='padding: 15px;'><p>3. Display Dashboard Events</p><p style='margin: 0'>This video focuses on how to display dashboard events.</p></td></tr><tr><td style='padding: 15px;'><p>4. Create Is Owner Policy for Events</p><p style='margin: 0'>This video helps create Is Owner Policy for events.</p></td></tr><tr><td style='padding: 15px;'><p>5. Associating Events with Users</p><p style='margin: 0'>This video demonstrates the association events with users.</p></td></tr><tr><td style='padding: 15px;'><p>6. Authenticated Edit, Delete and Image Upload</p><p style='margin: 0'>This video focuses on authenticated edit, delete, and image upload.</p></td></tr></tbody></table><br><h4>9. Extras and Deployment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Add Map to Event Pages</p><p style='margin: 0'>This video demonstrates how to add map to event pages.</p></td></tr><tr><td style='padding: 15px;'><p>2. Strapi Backend Deploy - Heroku</p><p style='margin: 0'>This video demonstrates how to deploy using Strapi - Heroku.</p></td></tr><tr><td style='padding: 15px;'><p>3. Next.js Deploy - Vercel</p><p style='margin: 0'>This video demonstrates how to deploy Next.js app to Vercel.</p></td></tr></tbody></table><br><h4>10. Project 2 - DevSpace Static Markdown Blog</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Project Introduction</p><p style='margin: 0'>This video provides an introduction to the project.</p></td></tr><tr><td style='padding: 15px;'><p>2. Markdown - What and Why?</p><p style='margin: 0'>This video explains what and why about markdown.</p></td></tr><tr><td style='padding: 15px;'><p>3. Markdown Crash Course</p><p style='margin: 0'>This video explores more insights on markdown.</p></td></tr><tr><td style='padding: 15px;'><p>4. Next.js and Tailwind CSS Setup</p><p style='margin: 0'>This video demonstrates the setup of Next.js and Tailwind CSS.</p></td></tr><tr><td style='padding: 15px;'><p>5. Layout Component</p><p style='margin: 0'>This video explains how to add layout component.</p></td></tr><tr><td style='padding: 15px;'><p>6. Header and Tailwind Styling</p><p style='margin: 0'>This video explains about the header and tailwind styling.</p></td></tr><tr><td style='padding: 15px;'><p>7. About and 404 Page</p><p style='margin: 0'>This video explains the about and 404 page.</p></td></tr></tbody></table><br><h4>11. Fetch, Parse, and Display Markdown Posts</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Blog Post Markdown Files</p><p style='margin: 0'>This video talks about blog post markdown files.</p></td></tr><tr><td style='padding: 15px;'><p>2. Get Posts and Parse Frontmatter</p><p style='margin: 0'>This video focuses on get posts and parse frontmatter.</p></td></tr><tr><td style='padding: 15px;'><p>3. Display Posts</p><p style='margin: 0'>This video explains how to display posts.</p></td></tr><tr><td style='padding: 15px;'><p>4. Sort Posts By Date</p><p style='margin: 0'>This video explains how to sort posts by date.</p></td></tr><tr><td style='padding: 15px;'><p>5. Category Label Component</p><p style='margin: 0'>This video explains about the category label component.</p></td></tr><tr><td style='padding: 15px;'><p>6. Generate Static Paths and Single Post Data</p><p style='margin: 0'>This video explains about generating static paths and single post data.</p></td></tr><tr><td style='padding: 15px;'><p>7. Display Single Blog Post</p><p style='margin: 0'>This video focuses on displaying single blog post.</p></td></tr></tbody></table><br><h4>12. Pagination and Category Pages</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Start Pagination - Generate Paths</p><p style='margin: 0'>This video focuses on start pagination - generate paths.</p></td></tr><tr><td style='padding: 15px;'><p>2. Fetch Paginated Posts</p><p style='margin: 0'>This video focusses on fetching paginated posts.</p></td></tr><tr><td style='padding: 15px;'><p>3. Pagination Links Component</p><p style='margin: 0'>This video explores pagination links component.</p></td></tr><tr><td style='padding: 15px;'><p>4. Category Pages</p><p style='margin: 0'>This video explores category pages.</p></td></tr><tr><td style='padding: 15px;'><p>5. Clean Up Get Posts</p><p style='margin: 0'>This video explains how to clean up get posts.</p></td></tr><tr><td style='padding: 15px;'><p>6. Category Sidebar</p><p style='margin: 0'>This video explains the category sidebar.</p></td></tr><tr><td style='padding: 15px;'><p>7. Next Export and Limitations</p><p style='margin: 0'>This video explains about the Next.js export and limitations.</p></td></tr></tbody></table><br><h4>13. Search, Caching Posts, and Deployment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How Search will Work</p><p style='margin: 0'>This video demonstrates how search will work.</p></td></tr><tr><td style='padding: 15px;'><p>2. Search Component</p><p style='margin: 0'>This video explains how to add the search component.</p></td></tr><tr><td style='padding: 15px;'><p>3. Search API Route</p><p style='margin: 0'>This video explores the search API route.</p></td></tr><tr><td style='padding: 15px;'><p>4. Search Results Components</p><p style='margin: 0'>This video explains the search results components.</p></td></tr><tr><td style='padding: 15px;'><p>5. First Deployment</p><p style='margin: 0'>This video shows the deployment part.</p></td></tr><tr><td style='padding: 15px;'><p>6. Cache Posts</p><p style='margin: 0'>This video explains about cache posts.</p></td></tr><tr><td style='padding: 15px;'><p>7. Pre-Commit Hook with Husky</p><p style='margin: 0'>This video demonstrates Pre-Commit Hook with Husky.</p></td></tr><tr><td style='padding: 15px;'><p>8. Wrap Up</p><p style='margin: 0'>This is a conclusion video of this course.</p></td></tr></tbody></table>

Node.js

This course focuses on building the application and static website with the help of Next.js. Next.js is written on JavaScript, therefore, the individual will learn to develop the full-stack application CRUD, pagination, authentication, and more.

Next.js from Development to Deployment: Build a Music Event Website

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or  anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away.</p>Overview<p>This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll:<br />Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights.<br />Develop the ability to transform raw text into a structured format that machines can understand and analyze.<br />Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects.<br />Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends.<br />Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction.<br />Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback.</p><p>The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots.</p></div><div id="course-pills-2"><h4>Launch into the Universe of Natural Language Processing</h4><ul><li>The journey begins: Unravel the layers of NLP </li><li>Navigating through the history of NLP </li><li>Merging paths: Text Analytics and NLP </li><li>Decoding language: Word Sense Disambiguation and Sentence Boundary Detection </li><li>First steps towards an NLP Project</li></ul><h4>Unleashing the Power of Feature Extraction</h4><ul><li>Dive into the vast ocean of Data Types </li><li>Purification process: Cleaning Text Data </li><li>Excavating knowledge: Extracting features from Texts </li><li>Drawing connections: Finding Text Similarity through Feature Extraction </li></ul><h4>Engineer Your Text Classifier</h4><ul><li>The new era of Machine Learning and Supervised Learning </li><li>Architecting a Text Classifier </li><li>Constructing efficient workflows: Building Pipelines for NLP Projects </li><li>Ensuring continuity: Saving and Loading Models</li></ul><h4>Master the Art of Web Scraping and API Usage</h4><ul><li>Stepping into the digital world: Introduction to Web Scraping and APIs </li><li>The great heist: Collecting Data by Scraping Web Pages </li><li>Navigating through the maze of Semi-Structured Data</li></ul><h4>Unearth Hidden Themes with Topic Modeling</h4><ul><li>Embark on the path of Topic Discovery </li><li>Decoding algorithms: Understanding Topic-Modeling Algorithms </li><li>Dialing the right numbers: Key Input Parameters for LSA Topic Modeling </li><li>Tackling complexity with Hierarchical Dirichlet Process (HDP)</li></ul><h4>Delving Deep into Vector Representations</h4><ul><li>The Geometry of Language: Introduction to Vectors in NLP</li></ul><h4>Text Manipulation: Generation and Summarization</h4><ul><li>Playing the creator: Generating Text with Markov Chains </li><li>Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank </li><li>Peering into the future: Recent Developments in Text Generation and Summarization </li><li>Solving real-world problems: Addressing Challenges in Extractive Summarization</li></ul><h4>Riding the Wave of Sentiment Analysis</h4><ul><li>Unveiling emotions: Introduction to Sentiment Analysis Tools </li><li>Demystifying the Textblob library </li><li>Preparing the canvas: Understanding Data for Sentiment Analysis </li><li>Training your own emotion detectors: Building Sentiment Models</li></ul><h4>Optional: Capstone Project</h4><ul><li>Apply the skills learned throughout the course. </li><li>Define the problem and gather the data. </li><li>Conduct exploratory data analysis for text data. </li><li>Carry out preprocessing and feature extraction. </li><li>Select and train a model. ? Evaluate the model and interpret the results.</li></ul><h4>Bonus Chapter: Generative AI and NLP</h4><ul><li>Introduction to Generative AI and its role in NLP. </li><li>Overview of Generative Pretrained Transformer (GPT) models. </li><li>Using GPT models for text generation and completion. </li><li>Applying GPT models for improving autocomplete features. </li><li>Use cases of GPT in question answering systems and chatbots.</li></ul><h4>Bonus Chapter: Advanced Applications of NLP with GPT</h4><ul><li>Fine-tuning GPT models for specific NLP tasks. </li><li>Using GPT for sentiment analysis and text classification. </li><li>Role of GPT in Named Entity Recognition (NER). </li><li>Application of GPT in developing advanced chatbots. </li><li>Ethics and limitations of GPT and generative AI technologies.</li></ul></div>

Natural Language Processing (NLP)

Neuro-Linguistic Programming (NLP)

NLP Practitioner

Trainers Course

Central Law Training (CLT)

NLP Boot Camp / Hands-On Natural Language Processing  (TTAI3030)

JavaScript

Swift

SwiftUI

Xcode

MongoDB

Do you want to create outstanding apps with SwiftUI?

Moreover, are you eager to build up your professional portfolio and show up in your next job interview with confidence?

This complete iOS application development course is designed to teach you how to become an advanced multiplatform app developer using Apple's native user interface framework: SwiftUI.

SwiftUI and Node.js Full Stack - Build Twitter - iOS 16

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p></p><p>Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.</p><p></p><p></p><p>This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.</p><p></p>Prerequisites<p>To be successful in this course, learners should have the following: Hands-on experience with Azure IaaS and PaaS solutions, and the Azure Portal. Experience writing in an Azure supported language at the intermediate level. (C#, JavaScript, Python, or Java) Ability to write code to connect and perform operations on, a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar) Experience writing code to handle authentication, authorization, and other security principles at the intermediate level. A general understanding of HTML, the HTTP protocol and REST API interfaces.</p></div><div id="course-pills-2"><h3>1 - Explore Azure App Service</h3> <ul> <li>Examine Azure App Service</li> <li>Examine Azure App Service plans</li> <li>Deploy to App Service</li> <li>Explore authentication and authorization in App Service</li> <li>Discover App Service networking features</li> </ul> <h3>2 - Configure web app settings</h3> <ul> <li>Configure application settings</li> <li>Configure general settings</li> <li>Configure path mappings</li> <li>Enable diagnostic logging</li> <li>Configure security certificates</li> </ul> <h3>3 - Scale apps in Azure App Service</h3> <ul> <li>Examine autoscale factors</li> <li>Identify autoscale factors</li> <li>Enable autoscale in App Service</li> <li>Explore autoscale best practices</li> </ul> <h3>4 - Explore Azure App Service deployment slots</h3> <ul> <li>Explore staging environments</li> <li>Examine slot swapping</li> <li>Swap deployment slots</li> <li>Route traffic in App Service</li> </ul> <h3>5 - Explore Azure Functions</h3> <ul> <li>Discover Azure Functions</li> <li>Compare Azure Functions hosting options</li> <li>Scale Azure Functions</li> </ul> <h3>6 - Develop Azure Functions</h3> <ul> <li>Explore Azure Functions development</li> <li>Create triggers and bindings</li> <li>Connect functions to Azure services</li> </ul> <h3>7 - Explore Azure Blob storage</h3> <ul> <li>Explore Azure Blob storage</li> <li>Discover Azure Blob storage resource types</li> <li>Explore Azure Storage security features</li> <li>Discover static website hosting in Azure Storage</li> </ul> <h3>8 - Manage the Azure Blob storage lifecycle</h3> <ul> <li>Explore the Azure Blob storage lifecycle</li> <li>Discover Blob storage lifecycle policies</li> <li>Implement Blob storage lifecycle policies</li> <li>Rehydrate blob data from the archive tier</li> </ul> <h3>9 - Work with Azure Blob storage</h3> <ul> <li>Explore Azure Blob storage client library</li> <li>Create a client object</li> <li>Manage container properties and metadata by using .NET</li> <li>Set and retrieve properties and metadata for blob resources by using REST</li> </ul> <h3>10 - Explore Azure Cosmos DB</h3> <ul> <li>Identify key benefits of Azure Cosmos DB</li> <li>Explore the resource hierarchy</li> <li>Explore consistency levels</li> <li>Choose the right consistency level</li> <li>Explore supported APIs</li> <li>Discover request units</li> </ul> <h3>11 - Work with Azure Cosmos DB</h3> <ul> <li>Explore Microsoft .NET SDK v3 for Azure Cosmos DB</li> <li>Create stored procedures</li> <li>Create triggers and user-defined functions</li> <li>Explore change feed in Azure Cosmos DB</li> </ul> <h3>12 - Manage container images in Azure Container Registry</h3> <ul> <li>Discover the Azure Container Registry</li> <li>Explore storage capabilities</li> <li>Build and manage containers with tasks</li> <li>Explore elements of a Dockerfile</li> </ul> <h3>13 - Run container images in Azure Container Instances</h3> <ul> <li>Explore Azure Container Instances</li> <li>Run containerized tasks with restart policies</li> <li>Set environment variables in container instances</li> <li>Mount an Azure file share in Azure Container Instances</li> </ul> <h3>14 - Implement Azure Container Apps</h3> <ul> <li>Explore Azure Container Apps</li> <li>Explore containers in Azure Container Apps</li> <li>Implement authentication and authorization in Azure Container Apps</li> <li>Manage revisions and secrets in Azure Container Apps</li> <li>Explore Dapr integration with Azure Container Apps</li> </ul> <h3>15 - Explore the Microsoft identity platform</h3> <ul> <li>Explore the Microsoft identity platform</li> <li>Explore service principals</li> <li>Discover permissions and consent</li> <li>Discover conditional access</li> </ul> <h3>16 - Implement authentication by using the Microsoft Authentication Library</h3> <ul> <li>Explore the Microsoft Authentication Library</li> <li>Initialize client applications</li> </ul> <h3>17 - Implement shared access signatures</h3> <ul> <li>Discover shared access signatures</li> <li>Choose when to use shared access signatures</li> <li>Explore stored access policies</li> </ul> <h3>18 - Explore Microsoft Graph</h3> <ul> <li>Discover Microsoft Graph</li> <li>Query Microsoft Graph by using REST</li> <li>Query Microsoft Graph by using SDKs</li> <li>Apply best practices to Microsoft Graph</li> </ul> <h3>19 - Implement Azure Key Vault</h3> <ul> <li>Explore Azure Key Vault</li> <li>Discover Azure Key Vault best practices</li> <li>Authenticate to Azure Key Vault</li> </ul> <h3>20 - Implement managed identities</h3> <ul> <li>Explore managed identities</li> <li>Discover the managed identities authentication flow</li> <li>Configure managed identities</li> <li>Acquire an access token</li> </ul> <h3>21 - Implement Azure App Configuration</h3> <ul> <li>Explore the Azure App Configuration service</li> <li>Create paired keys and values</li> <li>Manage application features</li> <li>Secure app configuration data</li> </ul> <h3>22 - Explore API Management</h3> <ul> <li>Discover the API Management service</li> <li>Explore API gateways</li> <li>Explore API Management policies</li> <li>Create advanced policies</li> <li>Secure APIs by using subscriptions</li> <li>Secure APIs by using certificates</li> </ul> <h3>23 - Explore Azure Event Grid</h3> <ul> <li>Explore Azure Event Grid</li> <li>Discover event schemas</li> <li>Explore event delivery durability</li> <li>Control access to events</li> <li>Receive events by using webhooks</li> <li>Filter events</li> </ul> <h3>24 - Explore Azure Event Hubs</h3> <ul> <li>Discover Azure Event Hubs</li> <li>Explore Event Hubs Capture</li> <li>Scale your processing application</li> <li>Control access to events</li> <li>Perform common operations with the Event Hubs client library</li> </ul> <h3>25 - Discover Azure message queues</h3> <ul> <li>Choose a message queue solution</li> <li>Explore Azure Service Bus</li> <li>Discover Service Bus queues, topics, and subscriptions</li> <li>Explore Service Bus message payloads and serialization</li> <li>Explore Azure Queue Storage</li> <li>Create and manage Azure Queue Storage and messages by using .NET</li> </ul> <h3>26 - Monitor app performance</h3> <ul> <li>Explore Application Insights</li> <li>Discover log-based metrics</li> <li>Instrument an app for monitoring</li> <li>Select an availability test</li> <li>Troubleshoot app performance by using Application Map</li> </ul> <h3>27 - Develop for Azure Cache for Redis</h3> <ul> <li>Explore Azure Cache for Redis</li> <li>Configure Azure Cache for Redis</li> <li>Interact with Azure Cache for Redis by using .NET</li> </ul> <h3>28 - Develop for storage on CDNs</h3> <ul> <li>Explore Azure Content Delivery Networks</li> <li>Control cache behavior on Azure Content Delivery Networks</li> <li>Interact with Azure Content Delivery Networks by using .NET</li> </ul></div>

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

AWS Certified Solutions Architect

AZ-204T00 Developing Solutions for Microsoft Azure

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.</p><p></p><p></p><p>AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language.</p><p></p>Prerequisites<p>Before attending this course, students must have:  </p><li>Knowledge of Microsoft Azure and ability to navigate the Azure portal  </li><li>Knowledge of either C# or Python  </li><li>Familiarity with JSON and REST programming semantics  <br />  Recommended course prerequisites  </li><li>AI-900T00: Microsoft Azure AI Fundamentals course<p></p></li></div><div id="course-pills-2"><h3>1 - Prepare to develop AI solutions on Azure</h3> <ul> <li>Define artificial intelligence</li> <li>Understand AI-related terms</li> <li>Understand considerations for AI Engineers</li> <li>Understand considerations for responsible AI</li> <li>Understand capabilities of Azure Machine Learning</li> <li>Understand capabilities of Azure AI Services</li> <li>Understand capabilities of the Azure Bot Service</li> <li>Understand capabilities of Azure Cognitive Search</li> </ul> <h3>2 - Create and consume Azure AI services</h3> <ul> <li>Provision an Azure AI services resource</li> <li>Identify endpoints and keys</li> <li>Use a REST API</li> <li>Use an SDK</li> </ul> <h3>3 - Secure Azure AI services</h3> <ul> <li>Consider authentication</li> <li>Implement network security</li> </ul> <h3>4 - Monitor Azure AI services</h3> <ul> <li>Monitor cost</li> <li>Create alerts</li> <li>View metrics</li> <li>Manage diagnostic logging</li> </ul> <h3>5 - Deploy Azure AI services in containers</h3> <ul> <li>Understand containers</li> <li>Use Azure AI services containers</li> </ul> <h3>6 - Analyze images</h3> <ul> <li>Provision an Azure AI Vision resource</li> <li>Analyze an image</li> <li>Generate a smart-cropped thumbnail</li> </ul> <h3>7 - Classify images</h3> <ul> <li>Provision Azure resources for Azure AI Custom Vision</li> <li>Understand image classification</li> <li>Train an image classifier</li> </ul> <h3>8 - Detect, analyze, and recognize faces</h3> <ul> <li>Identify options for face detection analysis and identification</li> <li>Understand considerations for face analysis</li> <li>Detect faces with the Azure AI Vision service</li> <li>Understand capabilities of the face service</li> <li>Compare and match detected faces</li> <li>Implement facial recognition</li> </ul> <h3>9 - Read Text in images and documents with the Azure AI Vision Service</h3> <ul> <li>Explore Azure AI Vision options for reading text</li> <li>Use the Read API</li> </ul> <h3>10 - Analyze video</h3> <ul> <li>Understand Azure Video Indexer capabilities</li> <li>Extract custom insights</li> <li>Use Video Analyzer widgets and APIs</li> </ul> <h3>11 - Analyze text with Azure AI Language</h3> <ul> <li>Provision an Azure AI Language resource</li> <li>Detect language</li> <li>Extract key phrases</li> <li>Analyze sentiment</li> <li>Extract entities</li> <li>Extract linked entities</li> </ul> <h3>12 - Build a question answering solution</h3> <ul> <li>Understand question answering</li> <li>Compare question answering to Azure AI Language understanding</li> <li>Create a knowledge base</li> <li>Implement multi-turn conversation</li> <li>Test and publish a knowledge base</li> <li>Use a knowledge base</li> <li>Improve question answering performance</li> </ul> <h3>13 - Build a conversational language understanding model</h3> <ul> <li>Understand prebuilt capabilities of the Azure AI Language service</li> <li>Understand resources for building a conversational language understanding model</li> <li>Define intents, utterances, and entities</li> <li>Use patterns to differentiate similar utterances</li> <li>Use pre-built entity components</li> <li>Train, test, publish, and review a conversational language understanding model</li> </ul> <h3>14 - Create a custom text classification solution</h3> <ul> <li>Understand types of classification projects</li> <li>Understand how to build text classification projects</li> </ul> <h3>15 - Create a custom named entity extraction solution</h3> <ul> <li>Understand custom named entity recognition</li> <li>Label your data</li> <li>Train and evaluate your model</li> </ul> <h3>16 - Translate text with Azure AI Translator service</h3> <ul> <li>Provision an Azure AI Translator resource</li> <li>Specify translation options</li> <li>Define custom translations</li> </ul> <h3>17 - Create speech-enabled apps with Azure AI services</h3> <ul> <li>Provision an Azure resource for speech</li> <li>Use the Azure AI Speech to Text API</li> <li>Use the text to speech API</li> <li>Configure audio format and voices</li> <li>Use Speech Synthesis Markup Language</li> </ul> <h3>18 - Translate speech with the Azure AI Speech service</h3> <ul> <li>Provision an Azure resource for speech translation</li> <li>Translate speech to text</li> <li>Synthesize translations</li> </ul> <h3>19 - Create an Azure AI Search solution</h3> <ul> <li>Manage capacity</li> <li>Understand search components</li> <li>Understand the indexing process</li> <li>Search an index</li> <li>Apply filtering and sorting</li> <li>Enhance the index</li> </ul> <h3>20 - Create a custom skill for Azure AI Search</h3> <ul> <li>Create a custom skill</li> <li>Add a custom skill to a skillset</li> </ul> <h3>21 - Create a knowledge store with Azure AI Search</h3> <ul> <li>Define projections</li> <li>Define a knowledge store</li> </ul> <h3>22 - Plan an Azure AI Document Intelligence solution</h3> <ul> <li>Understand AI Document Intelligence</li> <li>Plan Azure AI Document Intelligence resources</li> <li>Choose a model type</li> </ul> <h3>23 - Use prebuilt Azure AI Document Intelligence models</h3> <ul> <li>Understand prebuilt models</li> <li>Use the General Document, Read, and Layout models</li> <li>Use financial, ID, and tax models</li> </ul> <h3>24 - Extract data from forms with Azure Document Intelligence</h3> <ul> <li>What is Azure Document Intelligence?</li> <li>Get started with Azure Document Intelligence</li> <li>Train custom models</li> <li>Use Azure Document Intelligence models</li> <li>Use the Azure Document Intelligence Studio</li> </ul> <h3>25 - Get started with Azure OpenAI Service</h3> <ul> <li>Access Azure OpenAI Service</li> <li>Use Azure OpenAI Studio</li> <li>Explore types of generative AI models</li> <li>Deploy generative AI models</li> <li>Use prompts to get completions from models</li> <li>Test models in Azure OpenAI Studio's playgrounds</li> </ul> <h3>26 - Build natural language solutions with Azure OpenAI Service</h3> <ul> <li>Integrate Azure OpenAI into your app</li> <li>Use Azure OpenAI REST API</li> <li>Use Azure OpenAI SDK</li> </ul> <h3>27 - Apply prompt engineering with Azure OpenAI Service</h3> <ul> <li>Understand prompt engineering</li> <li>Write more effective prompts</li> <li>Provide context to improve accuracy</li> </ul> <h3>28 - Generate code with Azure OpenAI Service</h3> <ul> <li>Construct code from natural language</li> <li>Complete code and assist the development process</li> <li>Fix bugs and improve your code</li> </ul> <h3>29 - Generate images with Azure OpenAI Service</h3> <ul> <li>What is DALL-E?</li> <li>Explore DALL-E in Azure OpenAI Studio</li> <li>Use the Azure OpenAI REST API to consume DALL-E models</li> </ul> <h3>30 - Use your own data with Azure OpenAI Service</h3> <ul> <li>Understand how to use your own data</li> <li>Add your own data source</li> <li>Chat with your model using your own data</li> </ul> <h3>31 - Fundamentals of Responsible Generative AI</h3> <ul> <li>Plan a responsible generative AI solution</li> <li>Identify potential harms</li> <li>Measure potential harms</li> <li>Mitigate potential harms</li> <li>Operate a responsible generative AI solution</li> </ul></div>

Azure Machine Learning

Microsoft AI-900

Azure Cognitive Services

AI-102T00 Designing and Implementing an Azure AI Solution

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Are you looking to make your mark in the ever-evolving world of Data Analyst? The demand for Python programmers has never been higher. Just in the UK, job postings for Analysts / Python programmers surged by an astounding 70% in 2022. This exponential growth trend signifies the soaring need for skilled Python programmers. Amid this vibrant job market, our Python Programmer online Training is your golden ticket to a prosperous career in programming or Data Analysis. Regardless of your level - beginner or expert - we ensure a comprehensive learning experience that will enhance your current skills and prepare you for the dynamic tech industry.
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 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
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 Requirements 
No experience required. Just enrol & start learning python.
 Career path 
Upon completion of our Program, the potential career paths include:
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Software Engineer: £35,000 - £95,000 annually
Back-end Developer: £40,000 - £95,000 annually
Web Developer: £30,000 -£85,000 annually
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Academy for Health and Fitness

Programming Fundamentals

Career Development

IT Certifications

Become an IT professional with our Python Certification - IT Job Ready Program! Gain comprehensive skills in Python programming, data analysis, and automation. We offer a money-back guarantee if you don't secure a job within six months of completion. Enroll now and jumpstart your tech career!


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Python Certification - IT Job Ready Program with Money Back Guarantee

<strong>Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.</strong>
        <p>This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.</p>
        <h2>What You Will Learn</h2><p>When to use Python 2 and when to use Python 3.<br>How to install Python on Windows, Mac, and Linux.<br>How to prepare your computer for programming in Python.<br>The various ways to run a Python program on Windows, Mac, and Linux.<br>Suggested text editors and Integrated Development Environments to use when coding in Python.<br>How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.<br>What variables are and when to use them.<br>How to perform mathematical operations using Python.<br>How to capture input from a user.<br>Ways to control the flow of your programs.<br>The importance of white space in Python.<br>How to organize your Python programs: learn what goes where.<br>What modules are, when you should use them, and how to create your own.<br>How to define and use functions.<br>Important built-in Python functions that you ll use often.<br>How to read from and write to files.<br>The difference between binary and text files.<br>Various ways of getting help, including finding Python documentation.<br></p>
        <h2>Audience</h2><p>This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. </p>
        <h2>Key Features</h2><p>How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-</p>
        <h2>About the Author</h2><h3>Jason Cannon</h3><p>Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies.

Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.</p>
        <h2>Course Outline</h2><h4>1. Course Overview and Downloads</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>Course Overview and Downloads: Course Overview</p></td></tr></tbody></table><br><h4>2. Python Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python 2 vs Python 3</p><p style='margin: 0'>Python Setup: Python 2 vs Python 3</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python on Windows</p><p style='margin: 0'>Python Setup: Installing Python on Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Python on Mac</p><p style='margin: 0'>Python Setup: Installing Python on Mac</p></td></tr><tr><td style='padding: 15px;'><p>4. Installing Python on Linux</p><p style='margin: 0'>Python Setup: Installing Python on Linux</p></td></tr><tr><td style='padding: 15px;'><p>5. Writing Python Programs</p><p style='margin: 0'>Python Setup: Writing Python Programs</p></td></tr><tr><td style='padding: 15px;'><p>6. Running Python Programs</p><p style='margin: 0'>Python Setup: Running Python Programs</p></td></tr></tbody></table><br><h4>3. Strings and Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Strings and Variables: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables and Strings</p><p style='margin: 0'>Strings and Variables: Variables and Strings</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions and Printing</p><p style='margin: 0'>Strings and Variables: Functions and Printing</p></td></tr><tr><td style='padding: 15px;'><p>4. String Methods</p><p style='margin: 0'>Strings and Variables: String Methods</p></td></tr><tr><td style='padding: 15px;'><p>5. String Concatenation</p><p style='margin: 0'>Strings and Variables: String Concatenation</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatting Strings</p><p style='margin: 0'>Strings and Variables: Formatting Strings</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Strings and Variables: Section Summary</p></td></tr><tr><td style='padding: 15px;'><p>8. Solutions to the Practice Exercises - #1 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #1 - Video</p></td></tr><tr><td style='padding: 15px;'><p>9. Solutions to the Practice Exercises - #2 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #2 - Video</p></td></tr><tr><td style='padding: 15px;'><p>10. Solutions to the Practice Exercises - #3 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #3 - Video</p></td></tr></tbody></table><br><h4>4. Numbers and Math</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Numbers and Math: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Numbers, Numeric Operations, and Numeric Functions</p><p style='margin: 0'>Numbers and Math: Numbers, Numeric Operations, and Numeric Functions</p></td></tr><tr><td style='padding: 15px;'><p>3. Comments</p><p style='margin: 0'>Numbers and Math: Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Numbers and Math: Section Summary</p></td></tr></tbody></table><br><h4>5. Booleans and Conditionals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Booleans and Conditionals: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Booleans</p><p style='margin: 0'>Booleans and Conditionals: Booleans</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditionals</p><p style='margin: 0'>Booleans and Conditionals: Conditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Booleans and Conditionals: Section Summary</p></td></tr></tbody></table><br><h4>6. Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Functions: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions, Part I</p><p style='margin: 0'>Functions: Functions, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions, Part II</p><p style='margin: 0'>Functions: Functions, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Functions: Section Summary</p></td></tr></tbody></table><br><h4>7. Lists</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Lists: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Lists</p><p style='margin: 0'>Lists: Lists</p></td></tr><tr><td style='padding: 15px;'><p>3. Slices</p><p style='margin: 0'>Lists: Slices</p></td></tr><tr><td style='padding: 15px;'><p>4. Exception Handling</p><p style='margin: 0'>Lists: Exception Handling</p></td></tr><tr><td style='padding: 15px;'><p>5. Loops</p><p style='margin: 0'>Lists: Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Sorting and Ranges</p><p style='margin: 0'>Lists: Sorting and Ranges</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Lists: Section Summary</p></td></tr></tbody></table><br><h4>8. Dictionaries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Dictionaries: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Dictionaries - Part I</p><p style='margin: 0'>Dictionaries: Dictionaries - Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Dictionaries - Part II</p><p style='margin: 0'>Dictionaries: Dictionaries - Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Dictionaries: Section Summary</p></td></tr></tbody></table><br><h4>9. Tuples</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Tuples: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Tuples</p><p style='margin: 0'>Tuples: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>3. Section Summary</p><p style='margin: 0'>Tuples: Section Summary</p></td></tr></tbody></table><br><h4>10. Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Files: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Files, Part I</p><p style='margin: 0'>Files: Files, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Files, Part II</p><p style='margin: 0'>Files: Files, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Files: Section Summary</p></td></tr></tbody></table><br><h4>11. Modules</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Modules, Part I</p><p style='margin: 0'>Modules: Modules, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules, Part II</p><p style='margin: 0'>Modules: Modules, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr></tbody></table>

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

Python for Beginners: Learn Python Programming (Python 3)

<p><strong>Start your career as a Data Analyst and earn upto £35,000/ Month </strong></p><p>Have you ever imagined commanding a six-figure salary with the power of Python? Welcome to the "Data Analyst with Python - Job Ready Program with Career Support", where the world of big data is at your fingertips, and the only limit is your own curiosity. Explore the revolutionary journey that is geared towards turning raw data into insightful decisions. Our comprehensive program paves the way to becoming a sought-after Data Analyst, unlocking the door to a thriving career field as Python continues to spearhead the data revolution.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data Analysts with Python expertise, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Analyst with Python - Job Ready Program today and start your journey to becoming a successful Data Analyst!</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst with Python Job Ready Program:</p><ul><li><strong>Personalised Guidance:</strong> Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Data Analysis with Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking IT Helpdesk Support. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. <br /><br /></li><li><strong>Interview Preparation:</strong> We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. .</li></ul><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python from Scratch</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: Python Level 1 Crash Course</li><li>Course 17: Python Programming from Scratch with My SQL Database</li></ul><p>These courses will help you to develop your knowledge and skills to become a <strong>successful Data Analyst</strong>.</p><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The Data Analyst with Python Program is completed in 9 easy steps:</strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Analyst with Python program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 17 premium courses related to Data Analysis with Python. These courses will teach you the knowledge and skills required to become a successful Data Analyst with Python Programmer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.</p><p><strong>Step 3: </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.</p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.</p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.</p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.</p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.</p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Analysis with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Analysis with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This course is tailored to suit a broad spectrum of learners, including:</p><ul><li>Aspiring Data Analysts who want to launch a new career in data analytics.</li><li>Current analysts or professionals from similar fields looking to hone their Python skills and modernise their toolset.</li><li>Business and IT students or recent graduates desiring a competitive edge in the job market.</li><li>Career shifters interested in a more dynamic and high-paying field.</li><li>Any individual who loves working with numbers, solving problems, and has a curiosity for uncovering insights in data.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li><strong>Data Analyst</strong>: £27,000 - £60,000</li><li><strong>Senior Data Analyst</strong>: £40,000 - £75,000</li><li><strong>Data Scientist</strong>: £50,000 - £100,000</li><li><strong>Data Engineer</strong>: £45,000 - £90,000</li><li><strong>Analytics Manager</strong>: £60,000 - £120,000</li><li><strong>Director of Data Science</strong>: £90,000 - £150,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate </h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career as a Data Analyst and earn upto £35,000/ Month 
Have you ever imagined commanding a six-figure salary with the power of Python? Welcome to the "Data Analyst with Python - Job Ready Program with Career Support", where the world of big data is at your fingertips, and the only limit is your own curiosity. Explore the revolutionary journey that is geared towards turning raw data into insightful decisions. Our comprehensive program paves the way to becoming a sought-after Data Analyst, unlocking the door to a thriving career field as Python continues to spearhead the data revolution.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts with Python expertise, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Analyst with Python - Job Ready Program today and start your journey to becoming a successful Data Analyst!
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst with Python Job Ready Program:
Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Data Analysis with Python.
One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking IT Helpdesk Support. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. .
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python from Scratch
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: Python Level 1 Crash Course
Course 17: Python Programming from Scratch with My SQL Database
These courses will help you to develop your knowledge and skills to become a successful Data Analyst.
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Analyst with Python Program is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Analyst with Python program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 17 premium courses related to Data Analysis with Python. These courses will teach you the knowledge and skills required to become a successful Data Analyst with Python Programmer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3: Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Analysis with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Analysis with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This course is tailored to suit a broad spectrum of learners, including:
Aspiring Data Analysts who want to launch a new career in data analytics.
Current analysts or professionals from similar fields looking to hone their Python skills and modernise their toolset.
Business and IT students or recent graduates desiring a competitive edge in the job market.
Career shifters interested in a more dynamic and high-paying field.
Any individual who loves working with numbers, solving problems, and has a curiosity for uncovering insights in data.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Analyst: £27,000 - £60,000
Senior Data Analyst: £40,000 - £75,000
Data Scientist: £50,000 - £100,000
Data Engineer: £45,000 - £90,000
Analytics Manager: £60,000 - £120,000
Director of Data Science: £90,000 - £150,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Business Analytics & Intelligence

Data Engineering

Big Data Analytics

Data Science

Data Skills

Data Analyst

Data Analyst with Python Job Ready Program with Career Support & Money Back Guarantee

<p><strong>Start your career in Data Science and earn up to £90,000 per month.</strong></p><p>Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data <strong>Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.<br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python Programming from Scratch with My SQL Database</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: PyScript Fundamentals Training</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:<br /><br /></strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.<br /><br /></p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.<br /><br /></p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. <br /><br /></p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.<br /><br /></p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.<br /><br /></p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.<br /><br /></p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.<br /><br /></p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Beginners with an interest in Data Science and Python programming.</li><li>Programmers and Software Engineers looking to transition into Data Science.</li><li>Business Analysts and Project Managers aiming to leverage Data Science in their domains.</li><li>Researchers and Academics who wish to utilise Python for complex data analysis.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £60,000 - £90,000</li><li>Machine Learning Engineer: £65,000 - £100,000</li><li>Data Analyst: £40,000 - £60,000</li><li>Business Intelligence Analyst: £45,000 - £70,000</li><li>Data Engineer: £50,000 - £80,000</li><li>Big Data Architect: £70,000 - £120,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career in Data Science and earn up to £90,000 per month.
Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python Programming from Scratch with My SQL Database
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: PyScript Fundamentals Training
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:


Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.


Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.


Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. 


Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.


Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.


Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.


Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.


Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Beginners with an interest in Data Science and Python programming.
Programmers and Software Engineers looking to transition into Data Science.
Business Analysts and Project Managers aiming to leverage Data Science in their domains.
Researchers and Academics who wish to utilise Python for complex data analysis.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Scientist: £60,000 - £90,000
Machine Learning Engineer: £65,000 - £100,000
Data Analyst: £40,000 - £60,000
Business Intelligence Analyst: £45,000 - £70,000
Data Engineer: £50,000 - £80,000
Big Data Architect: £70,000 - £120,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Data Science with Python - IT Job Ready Program with Career Support & Money Back Guarantee

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

Python Programming

Demand for data analysts, data scientists and data engineers tripled over the past five years, rising 231%. That's much faster than job postings overall in the UK, which grew 36%. Hence, the demand for skilled data analysts has skyrocketed in the UK and worldwide! On average, salaries for these data analysts' roles are £64,376 and keep rising.
With a broader overview of the data analyst's responsibility, data chart, and presentation tools, the bundle describes how to filter, improve and handle data to present various information. You'll learn process management, how to analyse data and how to make vital business decisions. The data analyst bundle will buckle you up to perform simple to complex business analysis tasks effectively and efficiently.
Furthermore, the data analyst course accentuates developing your programming skills for a data analyst, such as Python, SQL, and R. What's more? Besides strengthening Microsoft Excel skills for a data analyst, you can improve your expertise in Tableau, Google Data Studio and business analysis ability from this Data Analyst (Data Analytics) Bundle course. Hence, you can be an efficient data analyst and a competent candidate for a challenging position.
Learning Outcomes of Data Analyst (Data Analytics)
Upon completion of the Data Analyst (Data Analytics) program, you will have acquired:
Acquire a big-picture understanding of the data analyst role
Fundamentals of data analysis (data analysis), including process management, tools for data analysis, various charts
Ability to conduct thorough research and turn raw data into presentable information
Perform many data operations in Python's famous "pandas" library, including grouping, pivoting, joining and more!
Learn about NLP, Machine Learning (ML), data visualisation using Matplotlib, Seaborn and much more
Knowledge of all the essential SQL commands and become proficient in SQL tools like GROUP BY, JOINS, and Subqueries
Become competent in using sorting and filtering commands in SQL
Learn general cloud computing concepts and gain a solid understanding of the fundamental systems on which the cloud is based
Learn how to use the R programming language for data science, machine learning, and data visualisation
Learn data analytics with Tableau, business intelligence and data mining masterclass, basic Google Data studio
This Data Analyst (Data Analytics) Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Python for Data Analysis
Course 03: SQL Programming Masterclass
Course 04: Data Science & Machine Learning with R
Course 05: Data Analytics with Tableau
Course 06: Basic Google Data Studio
Course 07: Business Intelligence and Data Mining Masterclass
Course 08: Business Analysis Level 3
Course 09: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002)
Course 11: GDPR Data Protection Level 5
Course 12: ChatGPT Crash Course
Upon finishing this 12-course Data Analyst (Data Analytics) bundle, you will acquire the necessary skills for a thriving career in this rapidly expanding industry. Waste no more time - enrol today and commence your path towards a promising future!
The Curriculum of the Data Analyst Bundle:
Course 1: Introduction to Data Analysis
Introduction
Agenda and Principles of Process Management
The Voice of the Process
Working as One Team for Improvement
Exercise: The Voice of the Customer
Tools for Data Analysis
The Pareto Chart
The Histogram
The Run Chart
Exercise: Presenting Performance Data
Understanding Variation
The Control Chart
Control Chart Example
Control Chart Special Cases
Interpreting the Control Chart
Control Chart Exercise
Strategies to Deal with Variation
Using Data to Drive Improvement
A Structure for Performance Measurement
Exercise
Course Project
Test your Understanding
Course 2: Python for Data Analysis
Welcome, Course Introduction & overview, and
Environment set-up
Python Essentials
Python for Data Analysis using NumPy
Python for Data Analysis using Pandas
Python for Data Visualization using mat plotlib
Python for Data Visualization using Seaborn
Python for Data Visualization using pandas
Python for interactive & geographical plotting using Plotly
and Cufflinks
Capstone Project - Python for Data Analysis &
Visualisation
Python for Machine Learning (ML) - sci-kit-learn - Linear
Regression Model
Python for Machine Learning - scikit-learn - Logistic
Regression Model
Python for Machine Learning - scikit-learn - K Nearest
Neighbours
Python for Machine Learning - scikit-learn - Decision Tree
and Random Forests
Python for Machine Learning - scikit-learn -Support Vector
Machines (SVMs)
Python for Machine Learning - scikit-learn - K Means
Clustering
Python for Machine Learning - scikit-learn - Principal
Component Analysis (PCA)
Recommender Systems with Python - (Additional Topic)
Python for Natural Language Processing (NLP) - NLTK -
(Additional Topic)
Course 3: SQL Programming Masterclass
Introduction
Setting up Course Tools
Browsing & Filtering Data
Filter Data with AND, OR, NOT Operators
Math Operations
String Concatenation
Tidy Up Your Results: Sorting, Alias Names, Limit
Records
NULL, DISTINCT & CASE Statements
Functions in SQL: Multiple-Row Functions
Functions in SQL: Single-Row Functions
Nested Queries
Casting & Data Conversion
Combination Relationships
Joins in SQL
Data Manipulation (DML)
SQL Data Definition Language (DDL)
Course 4: Data Science & Machine Learning with R
Data Science and Machine Learning Course Intro
Data Types and Structures in R
Data Types and Structures in R
Intermediate R
Data Manipulation in R
Data Visualisation in R
Creating Reports with R Markdown
Building WebApps with R Shiny
Introduction to Machine Learning
Starting A Career in Data Science
Course 5: Data Analytics with Tableau
Introduction to the Course
Project 1: Discount Mart (Sales and Profit Analytics)
Project 2: Green Destinations (HR Analytics)
Project 3: Superstore (Sales Agent Tracker)
Northwind Trade (Shipping Analytics)
Project 5: Tesla (Stock Price Analytics)
Bonus: Introduction to Database Concepts
Tableau Stories
Course 6: Basic Google Data Studio
Introduction to GDS
Data Visualisation
Geo-visualisation
A Socio-Economic Case Study
Course 7: Business Intelligence and Data Mining Masterclass
What is Business Intelligence?
Starting Case in understanding BI needs in diff phases
of business
Decision-Making Process and Need for IT Systems
Problem Structure and Decision Support System
Introduction to BI Applications
Dashboard presentation systems
Different Types of Charts used in 131 Dashboards
Good Dashboard and BSC
Examples of Bad Dashboards
Process of KPI Development
Overview of Data Warehouse
More explanation of the data warehouse and steps in
processing
Data Warehouse Architecture -Tiers
Data Warehouse - components
Approach to developing data structure and Models of
database
Basics of Data Mining - Meaning
Basics of Data Mining - Stages of DM
Data Mining Technique - Classification
Data mining - Clustering
Data Mining - Association Rules
Data Mining Applications - Banking
Data Mining Applications - CRM
Data Mining Applications - other industries
Course 8: Business Analysis Level 3
Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis & Management
Process Improvement with Gap Analysis
Documenting & Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 9: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Introduction
Prepaid Expenses Models: Resources Download
Accounting for Prepaid Expenses
Excel Formulas Detailed: Introduction to three Excel
Models
Formula-Based Prepaid Expenses Model
Calculate Prepaid Expenses Amortisation from Exact
Start Date
Prepaid Expenses Summary with Power Query & Pivot
Table
Advanced VBA Prepaid Expenses Amortisation Model
BONUS: Dynamic Dashboard for Divisional Profit &
Loss statements: Easy Way
Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic
Course 10: Cloud Computing CompTIA Cloud+ (CV0-002)
What You Need to Know
Introducing the Cloud
System Requirements for Cloud Deployments
Cloud Storage
Cloud Compute
Cloud Networking
Cloud Security
Migrating to the Cloud
Maintaining Cloud Solutions
Troubleshooting Cloud Solutions
Course 11: GDPR Data Protection
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Course 12: ChatGPT Crash Course
Sign up for an OpenAI Account
What can ChatGPT do for you?
ChatGPT for Business
ChatGPT for Teaching
ChatGPT for Research
Limitations of ChatGPT
Additional Videos
 CPD 
130 CPD hours/points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst (Data Analytics) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this Data Analyst (Data Analytics) bundle course. Students can take this course to gather professional knowledge besides their studies or for the future. 
Aspiring data analysts
Business analyst professionals who want to improve their skills
Anyone who desires to develop their data analysis skills
 
 Career path 
This Data Analyst (Data Analytics) Bundle is ideal for those who want to take their development to the next level and fast-track their career in any of the following roles:
Data Analyst: £30,000 - £50,000
Senior Data Analyst: £50,000 - £70,000
Data Scientist: £70,000 - £100,000
Business Intelligence Manager: £60,000 - £80,000
Machine Learning Engineer: £60,000 - £90,000
 Certificates 
Certificate of Completion
Digital certificate - Included
PDF certificate - Free (Previously, it was £6*12 = £72)
Certificate of Completion
Hard Copy certificate - Included
Hard Copy Certificate - Free (For The Title Course: Previously, it was £10)
Other Hard Copy certificates are available for £10 each
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Apex Learning

Google Data Studio

GDPR

Data Mining

Tableau

Business Intelligence (BI)

ChatGPT

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Data Analyst (Data Analytics) Diploma - CPD Certified

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

The Ultimate Guide to Python Programming with Python 3.10

<strong>This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.</strong>
        <p>Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python.

This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions.

Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum.

By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Master Python programming fundamentals<br>Learn how to install Python to get up and running in no time<br>Learn how to process data to create Olympics Medals Tables<br>Solve multiple specific problems for a customer in the real world<br>Learn all about objects and variables in Python<br>Understand functions and function parameters in Python</p>
        <h2>Audience</h2><p>Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.</p>
        <h2>Approach</h2><p>This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.</p>
        <h2>Key Features</h2><p>Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>About the Author</h2><h3>Paul Ashun</h3><p>Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook.

He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video is an introduction the course and what you can expect from the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Learning Objectives - Introduction</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>3. What Is Python?</p><p style='margin: 0'>This video explains what Python is and the need for Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Example</p><p style='margin: 0'>This video explains an example of a software engineer working in a media company to support the development team.</p></td></tr></tbody></table><br><h4>2. Getting Set Up</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Get Started with Replit</p><p style='margin: 0'>This video explains how to get started with Replit.</p></td></tr><tr><td style='padding: 15px;'><p>3. Writing Your First Python Program-Hello World</p><p style='margin: 0'>This video explains writing your first Python program-Hello World.</p></td></tr></tbody></table><br><h4>3. Storing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Objects and Variables</p><p style='margin: 0'>This video explains objects and variables in Python using an example of Olympic results.</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Names</p><p style='margin: 0'>This video explains variable names in Python and the rules to use them.</p></td></tr><tr><td style='padding: 15px;'><p>4. Numbers</p><p style='margin: 0'>This video explains the different types of numbers in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Strings</p><p style='margin: 0'>This video explains strings in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Showing Output When Running Python</p><p style='margin: 0'>This video explains showing output when running Python.</p></td></tr></tbody></table><br><h4>4. Processing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Information</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing Information</p><p style='margin: 0'>This video explains processing information in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Indexing</p><p style='margin: 0'>This video explains indexing in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Slices</p><p style='margin: 0'>This video explains slices in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. String Functions</p><p style='margin: 0'>This video explains string functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. The 'input' Function</p><p style='margin: 0'>This video explains the input function in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. More String Operations</p><p style='margin: 0'>This video explains more string operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Converting Between Different Types</p><p style='margin: 0'>This video explains converting between different types.</p></td></tr></tbody></table><br><h4>5. Comparing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Comparing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Comparing Information</p><p style='margin: 0'>This video explains comparing information in Python.</p></td></tr></tbody></table><br><h4>6. Tidying Messy Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Tidying Messy Data</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Tidying Messy Data</p><p style='margin: 0'>This video explains how to tidy messy data.</p></td></tr></tbody></table><br><h4>7. Storing Multiple Things</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Multiple Things</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Storing Multiple Things</p><p style='margin: 0'>This video explains how to store multiple things.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introducing Python Lists</p><p style='margin: 0'>This video explains lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Items to a List</p><p style='margin: 0'>This video explains how to add items to a list.</p></td></tr><tr><td style='padding: 15px;'><p>5. Indexing and Slicing Lists</p><p style='margin: 0'>This video explains indexing and slicing lists.</p></td></tr><tr><td style='padding: 15px;'><p>6. Deleting Items in a List</p><p style='margin: 0'>This video explains how to delete items in a list.</p></td></tr><tr><td style='padding: 15px;'><p>7. Tuples</p><p style='margin: 0'>This video explains tuples in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Long Lines in Python</p><p style='margin: 0'>This video explains long lines in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dictionaries</p><p style='margin: 0'>This video explains dictionaries in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. List Functions - More Ways to Work with Lists</p><p style='margin: 0'>This video explains list functions.</p></td></tr><tr><td style='padding: 15px;'><p>11. Sets</p><p style='margin: 0'>This video explains sets in Python.</p></td></tr></tbody></table><br><h4>8. Processing Collections</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Collections</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. A Simple 'for' Loop</p><p style='margin: 0'>This video explains a simple for loop.</p></td></tr><tr><td style='padding: 15px;'><p>3. More Complex 'for' loops - 'break', 'continue', and 'else'</p><p style='margin: 0'>This video explains more complex 'for' loops.</p></td></tr><tr><td style='padding: 15px;'><p>4. The 'range' Function - How to Create a List of Numbers</p><p style='margin: 0'>This video explains how to create a list of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. The 'while' Loop - Do Something for a While</p><p style='margin: 0'>This video explains the while loop.</p></td></tr></tbody></table><br><h4>9. Robust Programs - Handling Errors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains error handling in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Look Before You Leap</p><p style='margin: 0'>This video explains one way of making the code more robust, which is called 'look before you leap'.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Try and Except Block</p><p style='margin: 0'>This video explains the try and except block in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. The Catch-All Block</p><p style='margin: 0'>This video explains the catch-all block.</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Resources to Replit</p><p style='margin: 0'>This video explains how to add resources to Replit.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Finally Block</p><p style='margin: 0'>This video explains the finally block.</p></td></tr></tbody></table><br><h4>10. Saving the Results - Working with Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Saving the Results - Working with Files</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Adding Bad Data</p><p style='margin: 0'>This video explains adding bad data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Saving the Results - Working with Files</p><p style='margin: 0'>This video explains saving the results and working with files.</p></td></tr><tr><td style='padding: 15px;'><p>4. Binary File Modes</p><p style='margin: 0'>This video explains binary file modes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Text File Modes</p><p style='margin: 0'>This video explains text file modes.</p></td></tr><tr><td style='padding: 15px;'><p>6. The With Statement</p><p style='margin: 0'>This video explains the with statement.</p></td></tr></tbody></table><br><h4>11. Breaking Up Larger Programs, Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 1</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. About Replit.config</p><p style='margin: 0'>This video explains replit.config.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions</p><p style='margin: 0'>This video explains functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Function Parameters</p><p style='margin: 0'>This video explains function parameters.</p></td></tr><tr><td style='padding: 15px;'><p>5. Local Versus Global Variables</p><p style='margin: 0'>This video explains local versus global variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Positional and Keyword Parameters</p><p style='margin: 0'>This video explains positional and keyword parameters.</p></td></tr><tr><td style='padding: 15px;'><p>7. Return Statement</p><p style='margin: 0'>This video explains the return statement.</p></td></tr><tr><td style='padding: 15px;'><p>8. Working With JSON</p><p style='margin: 0'>This video explains working with JSON.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Comments and Clear Code</p><p style='margin: 0'>This video explains code comments in Python.</p></td></tr></tbody></table><br><h4>12. Summarising and Presenting the Results</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Summarising and Presenting the Results</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Summarising and Presenting the Results Part 1</p><p style='margin: 0'>This video explains how to summarise the results using statistics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Cleaning the Data</p><p style='margin: 0'>This video explains cleaning the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Summarising and Presenting the Results Part 2</p><p style='margin: 0'>This video explains the code in which we will get a sum of the scores of a country.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Numeric Functions - Min, Max, Sum</p><p style='margin: 0'>This video explains min, max, and sum functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatted Strings, f-strings</p><p style='margin: 0'>This video explains formatted strings and f-strings in Python.</p></td></tr></tbody></table><br><h4>13. Breaking Up Larger Programs, Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 2</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Splitting Code into Modules</p><p style='margin: 0'>This video explains splitting code into modules.</p></td></tr><tr><td style='padding: 15px;'><p>3. Namespaces</p><p style='margin: 0'>This video explains namespaces in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Our Modules</p><p style='margin: 0'>This video explains how to use modules in Python.</p></td></tr></tbody></table><br><h4>14. Getting Set Up on a PC or MAC</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up on a PC or MAC</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Set Up</p><p style='margin: 0'>This video explains how to set up Python on our systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Starting Python on Windows 10</p><p style='margin: 0'>This video explains how to start Python on Windows 10.</p></td></tr><tr><td style='padding: 15px;'><p>4. Starting a Terminal or Command Prompt on Windows</p><p style='margin: 0'>This video explains how to start a terminal or command prompt on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Python on Windows</p><p style='margin: 0'>This video explains the installation of Python on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing Python on MacOS</p><p style='margin: 0'>This video explains the installation on Python on MacOS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Quick Python Test - Running Python</p><p style='margin: 0'>This video explains how to run a Python script.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Scripts and IDLE</p><p style='margin: 0'>This video explains Python scripts and IDE.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Editors and IDEs</p><p style='margin: 0'>This video explains code editors and IDEs.</p></td></tr><tr><td style='padding: 15px;'><p>10. Running Python Scripts</p><p style='margin: 0'>This video explains how to run Python scripts.</p></td></tr></tbody></table>

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

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