Name: Big Data Analytics with PySpark Power BI and MongoDB Course
Price: 25 GBP
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<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>

Packt

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

General Admission

<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

<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;">
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                                        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

Web Development

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

JavaScript

Learn and Build Projects with Pure JavaScript (No Frameworks or Libraries)

Modern JavaScript From The Beginning

<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>

Nexus Human

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)

<p>Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you!</p>
<p>In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R.</p>
<p><strong>Learning Outcomes</strong></p>
<p>By the end of this course, you will be able to:</p>
<ul>
<li>Apply descriptive statistics, distributions, and probability theory to summarise and visualise data</li>
<li>Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data</li>
<li>Use Python and R to implement statistical and machine learning methods</li>
<li>Interpret and communicate the results of your analysis using appropriate metrics and visualisations</li>
<li>Solve real-world problems and scenarios using statistics and probability</li>
</ul>
<h3><b>Why choose this Advanced Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning at QLS Level 7<span> course</span>?</b></h3>
<ol>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b> and <b>CIQ </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
<li>Unlock career resources for CV improvement, interview readiness, and job success.</li>
</ol>
<h3><b>Who is this Advanced Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning at QLS Level 7<span> </span></b><b><span>course </span></b><b>for?</b></h3>
<p>This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for:</p>
<ul>
<li>Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge</li>
<li>Students and researchers who want to learn the mathematical foundations of data science and machine learning</li>
<li>Professionals and managers who want to understand and apply data-driven decision making</li>
<li>Hobbyists and enthusiasts who want to explore and learn from data</li>
<li>Anyone who loves statistics and probability and wants to challenge themselves</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Data Scientist</strong> (£35,000 - £55,000)</li>
<li><strong>Machine Learning Engineer</strong> (£40,000 - £60,000)</li>
<li><strong>Statistician</strong> (£35,000 - £55,000)</li>
<li><strong>Data Analyst</strong> (£40,000 - £60,000)</li>
<li><strong>Business Intelligence</strong> <strong>Analyst</strong> (£45,000 - £65,000)</li>
<li><strong>Senior Data Analyst</strong> (£50,000 - £70,000)</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Advanced Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning at QLS Level 7</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Advanced Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning at QLS Level 7</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p>
<p><b>Endorsed Certificate of Achievement from the Quality Licence Scheme</b></p>
<p>Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10.</p>
<p><b>Endorsement</b></p>
<p>The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards.</p>
<p>Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Section 01: Let's get started</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Welcome!</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What will you learn in this course?</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How can you get the most out of it?</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 02: Descriptive statistics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Intro</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mean</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Median</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mode</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mean or Median?</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Skewness</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: Skewness</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution: Skewness</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Range &amp; IQR</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sample vs. Population</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Variance &amp; Standard deviation</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Impact of Scaling &amp; Shifting</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistical moments</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 03: Distributions</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is a distribution?</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Normal distribution</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Z-Scores</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: Normal distribution</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution: Normal distribution</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 04: Probability theory</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Intro</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Probability Basics</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Calculating simple Probabilities</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: Simple Probabilities</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Quick solution: Simple Probabilities</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Detailed solution: Simple Probabilities</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Rule of addition</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: Rule of addition</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Quick solution: Rule of addition</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Detailed solution: Rule of addition</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Rule of multiplication</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: Rule of multiplication</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution: Rule of multiplication</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Bayes Theorem</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Bayes Theorem - Practical example</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Expected value</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: Expected value</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution: Expected value</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Law of Large Numbers</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Central Limit Theorem - Theory</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Central Limit Theorem - Intuition</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Central Limit Theorem - Challenge</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Central Limit Theorem - Exercise</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Central Limit Theorem - Solution</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Binomial distribution</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Poisson distribution</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Real life problems</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 05: Hypothesis testing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Intro</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is a hypothesis?</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Significance level and p-value</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Type I and Type II errors</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Confidence intervals and margin of error</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Excursion: Calculating sample size &amp; power</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Performing the hypothesis test</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: Hypothesis test</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution: Hypothesis test</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>T-test and t-distribution</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Proportion testing</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Important p-z pairs</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 06: Regressions</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Intro</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Linear Regression</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Correlation coefficient</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: Correlation</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution: Correlation</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: Linear Regression</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution: Linear Regression</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Residual, MSE &amp; MAE</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: MSE &amp; MAE</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution: MSE &amp; MAE</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Coefficient of determination</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Root Mean Square Error</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Practice: RMSE</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution: RMSE</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 07: Advanced regression &amp; machine learning algorithms</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Multiple Linear Regression</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overfitting</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Polynomial Regression</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Logistic Regression</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Decision Trees</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Regression Trees</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Random Forests</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Dealing with missing data</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 08: ANOVA (Analysis of Variance)</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>ANOVA - Basics &amp; Assumptions</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>One-way ANOVA</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>F-Distribution</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Two-way ANOVA - Sum of Squares</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Two-way ANOVA - F-ratio &amp; conclusions</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 09: Wrap up</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Wrap up</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Statistics &amp; Probability for Data Science &amp; Machine Learning</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"> Order your QLS Endorsed Certificate </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order your QLS Endorsed Certificate</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Data Science

Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7

<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

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				<p><span>Register on the Penetration Testing with OWASP ZAP: Mastery course today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p>
<p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p>
<p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion.</span></p>
<p><span>The Penetration Testing with OWASP ZAP: Mastery course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p>
<p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p>
<h5><b>What You Get With The Penetration Testing with OWASP ZAP: Mastery course</b></h5>
<ul>
<li><span>Receive a e-certificate upon successful completion of the course</span></li>
<li><span>Get taught by experienced, professional instructors</span></li>
<li><span>Study at a time and pace that suits your learning style</span></li>
<li><span>Get instant feedback on assessments </span></li>
<li><span>24/7 help and advice via email or live chat</span></li>
<li><span>Get full tutor support on weekdays (Monday to Friday)</span></li>
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			<h2>Course Design</h2>		</div>
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				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
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			<h2>Certification</h2>		</div>
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				<p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
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			<h2>Who Is This Course For:</h2>		</div>
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				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
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				<p><span>The online training is open to all students and has no formal entry requirements. To study the Penetration Testing with OWASP ZAP: Mastery course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. </span></p>					</div>
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				<h3>Course Content</h3>

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					<td colspan="4">Unit 01: Introduction</td>
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					<td>Things to know about OWASP ZAP</td>
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					<td><span><i></i> 00:24:00</span></td>
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					<td colspan="4">Unit02: Configuration of ZAP</td>
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					<td>Installing ZAP on multi platform</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td><span><i></i> 00:25:00</span></td>
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					<td><span><i></i> 00:32:00</span></td>
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					<td><span><i></i> 00:16:00</span></td>
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					<td colspan="4">Unit 03: Attacking the application with ZAP</td>
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					<td><span><i></i> 00:18:00</span></td>
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					<td><span><i></i> 00:24:00</span></td>
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					<td><span><i></i> 00:24:00</span></td>
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					<td><span><i></i> 00:22:00</span></td>
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					<td><span><i></i> 00:15:00</span></td>
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					<td><span><i></i> 00:25:00</span></td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td><span><i></i> 00:17:00</span></td>
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					<td>ZAP Scripting attacks &amp; Recording Zest Script, Python, JavaScript</td>
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					<td><span><i></i> 00:24:00</span></td>
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					<td><span><i></i> 00:18:00</span></td>
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					<td><span><i></i> 00:15:00</span></td>
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					<td><span><i></i> 00:17:00</span></td>
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					<td>Invoking Burp suite into ZAP - Best strategy</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Other useful tools add-ons inside zap</td>
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					<td><span><i></i> 00:29:00</span></td>
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					<td>Generating Reports in multiple formats</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>OWASP ZAP Course Guide</td>
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					<td><span><i></i> 00:30:00</span></td>
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			<h2>Frequently Asked Questions</h2>
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                                    Are there any prerequisites for taking the course?
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                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
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                                    Can I access the course at any time, or is there a set
                                    schedule?
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                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
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                                    How long will I have access to the course?
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                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
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                            </div>
                        </div>
                        
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                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
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                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
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                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
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                                    <span></span>
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                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
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                                <span>
                                    How do I track my progress in the course?
                                </span>
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                                    <span></span>
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                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
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                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
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                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

Janets

Penetration Testing

Online Course Marketing

Online Course Creation

Assessment Practising Certificate (APC)

Penetration Testing with OWASP ZAP: Mastery course

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			<h4>Overview</h4>		</div>
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							<p><span>By enroling in Big Data Analytics with PySpark Power BI and MongoDB, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.</span></p><p><span>The Big Data Analytics with PySpark Power BI and MongoDB course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Big Data Analytics with PySpark Power BI and MongoDB course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Big Data Analytics with PySpark Power BI and MongoDB Program.</span></p><p><span>So enrol in our Big Data Analytics with PySpark Power BI and MongoDB course right away if you're keen to envision yourself in a rewarding career.</span></p>						</div>
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			<h4>Description</h4>		</div>
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							<p><span>Enroling in this Big Data Analytics with PySpark Power BI and MongoDB course can improve your Big Data Analytics with PySpark Power BI and MongoDB perspective, regardless of your skill levels in the Big Data Analytics with PySpark Power BI and MongoDB topics you want to master. If you're already a Big Data Analytics with PySpark Power BI and MongoDB expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Big Data Analytics with PySpark Power BI and MongoDB insights that will help you make the most of your time. This Big Data Analytics with PySpark Power BI and MongoDB course will act as a guide for you if you've ever wished to excel at Big Data Analytics with PySpark Power BI and MongoDB.</span></p>						</div>
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			<h4>Why Choose Us?</h4>		</div>
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							<p>Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.</p>						</div>
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							<p><span>This Big Data Analytics with PySpark Power BI and MongoDB course is a great place to start if you're looking to start a new career in Big Data Analytics with PySpark Power BI and MongoDB field. This training is for anyone interested in gaining in-demand Big Data Analytics with PySpark Power BI and MongoDB proficiency to help launch a career or their business aptitude. </span></p>						</div>
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							<p><span>The Big Data Analytics with PySpark Power BI and MongoDB course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Big Data Analytics with PySpark Power BI and MongoDB, without any fuss.</span></p>						</div>
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							<p><span>This Big Data Analytics with PySpark Power BI and MongoDB training will assist you develop your Big Data Analytics with PySpark Power BI and MongoDB ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Big Data Analytics with PySpark Power BI and MongoDB professional story and personalise your path to a new career. Furthermore, developing this Big Data Analytics with PySpark Power BI and MongoDB skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.</span></p>						</div>
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			<h4>Order Your Certificate</h4>		</div>
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							<div><div><div><div id="1693981461.590199"><div><div><div><div><div><div><div><div><div><div><div>To order CPD Quality Standard Certificate, we kindly invite you to visit the following link:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>						</div>
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					<td colspan="4">Section 01: Introduction</td>
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					<td>Introduction</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td colspan="4">Section 02: Setup And Installations</td>
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					<td>Python Installation</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
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					<td>Installing Apache Spark</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
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					<td>Installing Java (Optional)</td>
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					<td><span><i></i> 00:05:00</span></td>
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					<td>Testing Apache Spark Installation</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td>Installing MongoDB</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
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					<td>Installing NoSQL Booster for MongoDB</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td colspan="4">Section 03: Data Processing With PySpark And MongoDB</td>
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					<td>Integrating PySpark with Jupyter Notebook</td>
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					<td><span><i></i> 00:05:00</span></td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td><span><i></i> 00:15:00</span></td>
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					<td>Loading Data into MongoDB</td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td colspan="4">Section 04: Machine Learning With PySpark And MLlib</td>
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					<td>Data Pre-processing</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Creating the Prediction Dataset</td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td colspan="4">Section 05: Creating The Data Pipeline Scripts</td>
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					<td>Installing Visual Studio Code</td>
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					<td><span><i></i> 00:03:00</span></td>
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					<td>Creating the PySpark ETL Script</td>
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					<td><span><i></i> 00:22:00</span></td>
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					<td>Creating the Machine Learning Script</td>
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					<td><span><i></i> 00:24:00</span></td>
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					<td colspan="4">Section 06: Tableau Data Visualization</td>
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					<td>Installing Tableau</td>
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					<td><span><i></i> 00:03:00</span></td>
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					<td>Installing MongoDB ODBC Drivers</td>
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					<td><span><i></i> 00:03:00</span></td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td><span><i></i> 00:11:00</span></td>
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					<td><span><i></i> 00:03:00</span></td>
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					<td>Creating a Table Plot</td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td>Creating a Dashboard</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td colspan="4">Order Your Certificate</td>
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					<td><span><i></i> 00:00:00</span></td>
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Big Data Analytics with PySpark Power BI and MongoDB Course

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.</p><p></p>Overview<p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.</p><p></p><p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.</p><p></p>Prerequisites<p></p><li>Creating cloud resources in Microsoft Azure.</li>  <li>Using Python to explore and visualize data.</li>  <li>Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.</li>  <li>Working with containers</li>  <li>AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience.</li><p></p></div><div id="course-pills-2"><h3>1 - Design a data ingestion strategy for machine learning projects</h3> <ul> <li>Identify your data source and format</li> <li>Choose how to serve data to machine learning workflows</li> <li>Design a data ingestion solution</li> </ul> <h3>2 - Design a machine learning model training solution</h3> <ul> <li>Identify machine learning tasks</li> <li>Choose a service to train a machine learning model</li> <li>Decide between compute options</li> </ul> <h3>3 - Design a model deployment solution</h3> <ul> <li>Understand how model will be consumed</li> <li>Decide on real-time or batch deployment</li> </ul> <h3>4 - Design a machine learning operations solution</h3> <ul> <li>Explore an MLOps architecture</li> <li>Design for monitoring</li> <li>Design for retraining</li> </ul> <h3>5 - Explore Azure Machine Learning workspace resources and assets</h3> <ul> <li>Create an Azure Machine Learning workspace</li> <li>Identify Azure Machine Learning resources</li> <li>Identify Azure Machine Learning assets</li> <li>Train models in the workspace</li> </ul> <h3>6 - Explore developer tools for workspace interaction</h3> <ul> <li>Explore the studio</li> <li>Explore the Python SDK</li> <li>Explore the CLI</li> </ul> <h3>7 - Make data available in Azure Machine Learning</h3> <ul> <li>Understand URIs</li> <li>Create a datastore</li> <li>Create a data asset</li> </ul> <h3>8 - Work with compute targets in Azure Machine Learning</h3> <ul> <li>Choose the appropriate compute target</li> <li>Create and use a compute instance</li> <li>Create and use a compute cluster</li> </ul> <h3>9 - Work with environments in Azure Machine Learning</h3> <ul> <li>Understand environments</li> <li>Explore and use curated environments</li> <li>Create and use custom environments</li> </ul> <h3>10 - Find the best classification model with Automated Machine Learning</h3> <ul> <li>Preprocess data and configure featurization</li> <li>Run an Automated Machine Learning experiment</li> <li>Evaluate and compare models</li> </ul> <h3>11 - Track model training in Jupyter notebooks with MLflow</h3> <ul> <li>Configure MLflow for model tracking in notebooks</li> <li>Train and track models in notebooks</li> </ul> <h3>12 - Run a training script as a command job in Azure Machine Learning</h3> <ul> <li>Convert a notebook to a script</li> <li>Run a script as a command job</li> <li>Use parameters in a command job</li> </ul> <h3>13 - Track model training with MLflow in jobs</h3> <ul> <li>Track metrics with MLflow</li> <li>View metrics and evaluate models</li> </ul> <h3>14 - Perform hyperparameter tuning with Azure Machine Learning</h3> <ul> <li>Define a search space</li> <li>Configure a sampling method</li> <li>Configure early termination</li> <li>Use a sweep job for hyperparameter tuning</li> </ul> <h3>15 - Run pipelines in Azure Machine Learning</h3> <ul> <li>Create components</li> <li>Create a pipeline</li> <li>Run a pipeline job</li> </ul> <h3>16 - Register an MLflow model in Azure Machine Learning</h3> <ul> <li>Log models with MLflow</li> <li>Understand the MLflow model format</li> <li>Register an MLflow model</li> </ul> <h3>17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning</h3> <ul> <li>Understand Responsible AI</li> <li>Create the Responsible AI dashboard</li> <li>Evaluate the Responsible AI dashboard</li> </ul> <h3>18 - Deploy a model to a managed online endpoint</h3> <ul> <li>Explore managed online endpoints</li> <li>Deploy your MLflow model to a managed online endpoint</li> <li>Deploy a model to a managed online endpoint</li> <li>Test managed online endpoints</li> </ul> <h3>19 - Deploy a model to a batch endpoint</h3> <ul> <li>Understand and create batch endpoints</li> <li>Deploy your MLflow model to a batch endpoint</li> <li>Deploy a custom model to a batch endpoint</li> <li>Invoke and troubleshoot batch endpoints</li> </ul></div>

Data Engineering

Microsoft AZ-900

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

Azure Machine Learning

DP-100T01 Designing and Implementing a Data Science Solution on Azure

"Start your career as a Certified Python Programmer and earn up to £70,000 per Year."
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.
We envision being your reliable ally throughout your journey - from imparting quality Python training to ensuring your employability in the programming world.
Our Python Certification Program offers more than just technical know-how. We extend comprehensive career mentoring and support designed to mould you into an industry-ready professional. We'll assist you in creating an impressive resume, preparing for interviews, and landing your dream job. With a vast network of partner companies continually looking for Python programmers, we provide an opportunity to get your foot in the door of your desired companies.
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 Programmers, 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 Python Certification - IT Program today and start your journey to becoming a successful Python Programmer!
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 Certified Python Programmers:
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 Python.
One-On-One Consultation: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Python programming 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 Certified Python Programmers. 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.
Courses we will provide once you enrol in the program:
Course 01: Computer Science With Python
Course 02: Ultimate Python Training for Beginners
Course 03: Python Intermediate Training
Course 04: Python Advanced Training
Course 05: Deep Learning & Neural Networks Python - Keras
Course 06: Complete Python Machine Learning & Data Science Fundamentals
Course 06: Introduction to Data Analysis
Course 07: Business and Data Analytics for Beginners
Course 08: Data Analytics with Tableau
Course 09: Quick Data Science Approach from Scratch
Course 10: Learn MySQL from Scratch for Data Science and Analytics
Course 11: SQL for Data Science, Data Analytics and Data Visualization
Course 12: Statistics & Probability for Data Science & Machine Learning
Course 13: Basic Google Data Studio
Course 14: Machine Learning with Python Course
Course 15: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 16: Web Scraping and Mapping Dam Levels in Python and Leaflet
Course 17: Coding Essentials - Javascript, ASP. Net, C#
Course 19: Master JavaScript with Data Visualization
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 Python Certification - IT Training is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Python Certification 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 19 Premium Courses related to Python Programming. These courses will teach you the knowledge and skills required to become a successful Python Prgrammer. 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 programming/development 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 Python Programming, 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 Python Programming begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
Beginners with no prior programming experience who are looking to enter the world of coding.
Intermediate programmers who wish to expand their skills and explore Python's extensive usage.
IT professionals seeking to diversify their skill sets and stay relevant in today's tech-driven market.
Data analysts and scientists who want to leverage Python's powerful libraries for their data processing needs.
Students and recent graduates looking to enhance their employability in the thriving tech industry.
Entrepreneurs who wish to understand and utilise Python to automate tasks and analyse data for their businesses.
Anyone with a keen interest in Python programming and a desire to delve into its applications in diverse fields like web development, data science, machine learning, and more.
 Requirements 
No experience required. Just enrol & start learning python.
 Career path 
Upon completion of our Program, the potential career paths include:
Python Developer: £30,000 - £90,000 annually
Data Scientist: £40,000 - £100,000 annually
Machine Learning Engineer: £50,000 - £110,000 annually
Data Analyst: £35,000 - £85,000 annually
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!


Ready to land your dream job in tech? Our Python Certification - IT Job Ready Program equips you with essential Python programming, data analysis, and automation skills. Plus, we offer a money-back guarantee if you don't get hired within six months of completing the course. Don't miss out – enroll today and take the first step towards a successful IT career! 💻📊 #PythonCertification #TechTraining #CareerReady #MoneyBackGuarantee

Python Certification - IT Job Ready Program with 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 

Big Data Analytics

Data Skills

Data Science with Python - IT Job Ready Program with Career Support & 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>

Programming

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)

<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

<p><strong>Start your career as a Data Scientist and earn upto £90,000/ Year</strong></p><p>Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!</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 <strong>Data 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 <strong>Data Scientist</strong> experience, we will guide you towards honing your skills and developing a strong foundation in <strong>Data Science</strong>.<br /><br /></li><li><strong>Tailored CV Building:</strong> Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.<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 <strong>Data Science</strong> 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. <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. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Ultimate Python Training for Beginners</li><li>Course 02: Python Intermediate Training</li><li>Course 03: Python Advanced Training</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Basic Data Analysis</li><li>Course 06: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li>Course 07: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li>Course 08: Customer Analytics Training</li><li>Course 09: Google Analytics for Everyone</li><li>Course 10: Google Data Studio: Data Analytics</li><li>Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li>Course 12: Big Data Analytics with PySpark Power BI and MongoDB</li><li>Course 13: Excel Data Analysis</li><li>Course 14: Introduction to Data Analytics with Tableau</li><li>Course 15: Machine Learning with Python Course</li><li>Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI</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:</strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the <strong>Data Scientist </strong>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 <strong>Data Scientist</strong>. 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.</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 <strong>Data Scientist</strong> 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 Science, 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 <strong>Data Science</strong> 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>Aspiring data scientists looking to enter the exciting field of data science.</li><li>Professionals from other disciplines who want to transition into the data science domain.</li><li>Software engineers or programmers interested in expanding their skill set to include data science.</li><li>Analysts or researchers who want to enhance their data analysis and modeling capabilities.</li><li>Students or graduates seeking to kick-start their careers in data science with a strong foundation.</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 Analyst: £25,000 - £55,000 per year</li><li>Data Scientist: £40,000 - £85,000 per year</li><li>Machine Learning Engineer: £50,000 - £100,000 per year</li><li>Data Engineer: £45,000 - £80,000 per year</li><li>Business Intelligence Analyst: £35,000 - £65,000 per year</li><li>Data Science Manager: £70,000 - £120,000 per year.</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 Scientist and earn upto £90,000/ Year
Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!
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 Data Scientist experience, we will guide you towards honing your skills and developing a strong foundation in Data Science.
Tailored CV Building: Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.
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.
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. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.
Here are the courses we will provide once you enrol in the program:
Course 01: Ultimate Python Training for Beginners
Course 02: Python Intermediate Training
Course 03: Python Advanced Training
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Basic Data Analysis
Course 06: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 07: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 08: Customer Analytics Training
Course 09: Google Analytics for Everyone
Course 10: Google Data Studio: Data Analytics
Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB
Course 12: Big Data Analytics with PySpark Power BI and MongoDB
Course 13: Excel Data Analysis
Course 14: Introduction to Data Analytics with Tableau
Course 15: Machine Learning with Python Course
Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI
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 Scientist 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 Scientist. 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 Scientist 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, 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 begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Aspiring data scientists looking to enter the exciting field of data science.
Professionals from other disciplines who want to transition into the data science domain.
Software engineers or programmers interested in expanding their skill set to include data science.
Analysts or researchers who want to enhance their data analysis and modeling capabilities.
Students or graduates seeking to kick-start their careers in data science with a strong foundation.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Analyst: £25,000 - £55,000 per year
Data Scientist: £40,000 - £85,000 per year
Machine Learning Engineer: £50,000 - £100,000 per year
Data Engineer: £45,000 - £80,000 per year
Business Intelligence Analyst: £35,000 - £65,000 per year
Data Science Manager: £70,000 - £120,000 per year.
 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 Analyst

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

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.

Python Bootcamp in a Day - Python Programming for Beginners.

Network

Networking

Cisco

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

Python Network Programming for Network Engineers (Python 3)

<p><strong>Introducing Coding using Python</strong></p>
<p>This course introduces your child to a very advanced, yet easy to learn programming languages &ndash; Python. It&rsquo;s safe to say that many apps we use today have been built using Python &ndash; Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.</p>

Riva Learning

Programming Languages

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Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

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