<div><h2> About Course</h2><div><div><div><div><div><div><div><div><p><strong>Master the Fundamentals of Programming with Python</strong></p><p><strong>Course Description</strong></p><p>Embark on an exciting journey into the world of programming with this comprehensive Python course, designed to equip you with the essential skills and knowledge to become a proficient Python programmer. Whether you're a complete beginner or seeking to enhance your existing Python skills, this course caters to all levels of expertise.</p><p><strong>What will be discussed in detail?</strong></p><ul><li><p><strong>Introduction to Python:</strong> Delve into the basics of Python programming, including variables, data types, operators, and control flow statements.</p></li><li><p><strong>Working with Data Types:</strong> Explore the fundamental data types in Python, including numbers, strings, booleans, and lists.</p></li><li><p><strong>Python Strings:</strong> Master the art of manipulating strings, including slicing, concatenation, and string formatting techniques.</p></li><li><p><strong>Python Lists:</strong> Discover the power of lists, one of Python's most versatile data structures, and learn how to create, access, modify, and iterate over lists.</p></li><li><p><strong>Python Casting and Input:</strong> Understand the concept of type casting and learn how to take user input from the console.</p></li><li><p><strong>Python Dictionary:</strong> Uncover the usefulness of dictionaries, another essential data structure in Python, and learn how to store and retrieve data using key-value pairs.</p></li><li><p><strong>Python Date and Time:</strong> Learn how to handle date and time operations in Python, including creating, formatting, and manipulating date and time objects.</p></li><li><p><strong>Python Loop Part 1:</strong> Master the 'for' loop, a fundamental looping construct in Python, to iterate over sequences and perform repetitive tasks.</p></li><li><p><strong>Python Loop Part 2:</strong> Expand your understanding of loops by exploring the 'while' loop, used to execute a block of code repeatedly while a condition remains true.</p></li><li><p><strong>Creating a Function:</strong> Discover the power of functions, reusable blocks of code that perform specific tasks, and learn how to define, call, and pass arguments to functions.</p></li><li><p><strong>Python OOP Part 1:</strong> Delve into the world of Object-Oriented Programming (OOP) with Python, and learn the concepts of classes, objects, inheritance, and polymorphism.</p></li><li><p><strong>Python OOP Part 2:</strong> Enhance your OOP skills by exploring advanced concepts such as abstract classes, multiple inheritance, and operator overloading.</p></li><li><p><strong>Python Advanced OOP Part 1:</strong> Discover more advanced OOP techniques, including class methods, static methods, and decorators.</p></li><li><p><strong>Python Advanced OOP Part 2:</strong> Master the concept of exception handling, a crucial aspect of robust programming, and learn how to handle errors and exceptions effectively.</p></li><li><p><strong>Error Handling:</strong> Understand the importance of error handling in Python programming and learn how to identify, handle, and prevent errors.</p></li><li><p><strong>Python File Handling:</strong> Learn how to read, write, and manipulate files in Python, enabling you to store and retrieve data from external sources.</p></li><li><p><strong>Python Modules:</strong> Explore the concept of modules, reusable code libraries, and discover how to import, use, and create your own modules.</p></li></ul><p><strong>Why should you enroll into it?</strong></p><ul><li><p><strong>Gain a comprehensive understanding of Python programming:</strong> Master the fundamentals of Python programming, from basic syntax to advanced OOP concepts.</p></li><li><p><strong>Develop practical coding skills:</strong> Apply your theoretical knowledge to hands-on coding exercises, solidifying your understanding and building your confidence.</p></li><li><p><strong>Prepare for a career in programming:</strong> Equip yourself with the essential skills required for entry-level programming positions.</p></li><li><p><strong>Enhance your problem-solving abilities:</strong> Learn to think algorithmically and develop effective problem-solving techniques using Python programming.</p></li><li><p><strong>Expand your skillset and knowledge:</strong> Whether you're a beginner or an experienced programmer, this course will broaden your understanding of Python and its capabilities.</p></li></ul><p><strong>What will be taught? (Learning Outcomes/Learning Objectives)</strong></p><ul><li>Understand the fundamental concepts of Python programming</li><li>Work with different data types, including numbers, strings, lists, dictionaries, and Booleans</li><li>Master control flow statements such as 'if', 'elif', and 'else'</li><li>Create and manipulate Python functions</li><li>Implement Object-Oriented Programming (OOP) concepts using classes, objects, inheritance, and polymorphism</li><li>Handle errors and exceptions effectively</li><li>Read, write, and manipulate files in Python</li><li>Import, use, and create Python modules</li></ul></div></div></div></div></div></div><div></div></div></div></div> <div><h3> What Will You Learn?</h3><ul><li> <span></span> <span>Understand the fundamental concepts of Python programming</span></li><li> <span></span> <span>Work with different data types, including numbers, strings, lists, dictionaries, and Booleans</span></li><li> <span></span> <span>Master control flow statements such as 'if', 'elif', and 'else'</span></li><li> <span></span> <span>Create and manipulate Python functions</span></li><li> <span></span> <span>Implement Object-Oriented Programming (OOP) concepts using classes, objects, inheritance, and polymorphism</span></li><li> <span></span> <span>Handle errors and exceptions effectively</span></li><li> <span></span> <span>Read, write, and manipulate files in Python</span></li><li> <span></span> <span>Import, use, and create Python modules</span></li></ul></div><div><h3> Course Content</h3><div><div><h4> Introduction to Python</h4><div><div><ul><li><div> <span></span><h5> Introduction to Python</h5></div><div> </div></li></ul></div></div></div><div><h4> Working with Data Types</h4><div><div><ul><li><div> <span></span><h5> Working with Data Types</h5></div><div> </div></li></ul></div></div></div><div><h4> Python Strings</h4><div><div><ul><li><div> <span></span><h5> Python Strings</h5></div><div> </div></li></ul></div></div></div><div><h4> Python List</h4><div><div><ul><li><div> <span></span><h5> Python List</h5></div><div> </div></li></ul></div></div></div><div><h4> Python Casting and Input</h4><div><div><ul><li><div> <span></span><h5> Python Casting and Input</h5></div><div> </div></li></ul></div></div></div><div><h4> Python Dictionary</h4><div><div><ul><li><div> <span></span><h5> Python Dictionary</h5></div><div> </div></li></ul></div></div></div><div><h4> Python Date and Time</h4><div><div><ul><li><div> <span></span><h5> Python Date and Time</h5></div><div> </div></li></ul></div></div></div><div><h4> Python Loop (Part - 1)</h4><div><div><ul><li><div> <span></span><h5> Python Loop (Part - 1)</h5></div><div> </div></li></ul></div></div></div><div><h4> Python Loop (Part - 2)</h4><div><div><ul><li><div> <span></span><h5> Python Loop (Part - 2)</h5></div><div> </div></li></ul></div></div></div><div><h4> Python While Loop</h4><div><div><ul><li><div> <span></span><h5> Python While Loop</h5></div><div> </div></li></ul></div></div></div><div><h4> Creating a Function</h4><div><div><ul><li><div> <span></span><h5> Creating a Function</h5></div><div> </div></li></ul></div></div></div><div><h4> Python OOP (Part - 1)</h4><div><div><ul><li><div> <span></span><h5> Python OOP (Part - 1)</h5></div><div> </div></li></ul></div></div></div><div><h4> Python OOP (Part - 2)</h4><div><div><ul><li><div> <span></span><h5> Python OOP (Part - 2)</h5></div><div> </div></li></ul></div></div></div><div><h4> Python Advanced OOP (Part - 1)</h4><div><div><ul><li><div> <span></span><h5> Python Advanced OOP (Part - 1)</h5></div><div> </div></li></ul></div></div></div><div><h4> Python Advanced OOP (Part - 2)</h4><div><div><ul><li><div> <span></span><h5> Python Advanced OOP (Part - 2)</h5></div><div> </div></li></ul></div></div></div><div><h4> Error Handling</h4><div><div><ul><li><div> <span></span><h5> Error Handling</h5></div><div> </div></li></ul></div></div></div><div><h4> Python File Handling</h4><div><div><ul><li><div> <span></span><h5> Python File Handling</h5></div><div> </div></li></ul></div></div></div><div><h4> Python Modules</h4><div><div><ul><li><div> <span></span><h5> Python Modules</h5></div><div> </div></li></ul></div></div></div></div></div>A course by  Uditha Bandara  Microsoft Most Valuable Professional (MVP) RequirementsA basic understanding of computers and operating systemsA willingness to learn and practice codingA computer with internet access and the ability to install Python Audience  Beginners with no prior programming experience  Programmers seeking to transition to Python  Individuals looking to enhance their programming skills and knowledge  Anyone interested in pursuing a career in programming<h3> Audience</h3><ul><li> <span></span> <span>Beginners with no prior programming experience</span></li><li> <span></span> <span>Programmers seeking to transition to Python</span></li><li> <span></span> <span>Individuals looking to enhance their programming skills and knowledge</span></li><li> <span></span> <span>Anyone interested in pursuing a career in programming</span></li></ul>

Xpert Learning

Programming Fundamentals

Computer Programming

Programming with Python

General Admission

<div><h2> About Course</h2><div><p><strong>Building Web Applications with Django and PostgreSQL: Master the Complete Stack</strong></p><p><strong>Learn to build modern and robust web applications with one of the most popular and powerful tech stacks: Django and PostgreSQL.</strong></p><p><strong>In this comprehensive course, you will learn:</strong></p><ul><li>The fundamentals of Django, including setting up a development environment, creating models, views, and templates, and handling user authentication and authorization.</li><li>How to work with Django's built-in admin interface and form files.</li><li>Advanced topics, such as working with Django's ORM (Object-Relational Mapping) to interact with the PostgreSQL database, handling form submissions, and integrating third-party libraries.</li><li>Best practices for structuring Django projects, handling user sessions, and securing your web applications against common web vulnerabilities.</li></ul><p><strong>You will also gain hands-on experience in using PostgreSQL as your database backend, including:</strong></p><ul><li>Designing database schemas</li><li>Performing CRUD (Create, Read, Update, Delete) operations</li><li>Optimizing database performance</li></ul><p><strong>Throughout the course, you will work on practical projects that will allow you to apply the concepts you've learned and build real-world web applications.</strong></p><p><strong>By the end of this course, you will be able to:</strong></p><ul><li>Create dynamic and interactive web applications with Django and PostgreSQL.</li><li>Build secure, scalable, and maintainable web applications.</li><li>Become a skilled and proficient web developer.</li></ul><p><strong>This course is perfect for:</strong></p><ul><li>Beginners who want to learn how to build web applications from scratch.</li><li>Experienced web developers who want to learn how to use Django and PostgreSQL.</li><li>Anyone who wants to learn how to build modern and robust web applications.</li></ul><p><strong>Enroll today and start your journey to becoming a Django and PostgreSQL expert!</strong></p><p><strong>Bonus:</strong></p><ul><li>Get access to the instructor's personal collection of Django and PostgreSQL resources.</li></ul><p><strong>Why learn Django and PostgreSQL?</strong></p><p>Django and PostgreSQL are two of the most popular and powerful technologies for building web applications. Django is a popular web framework written in Python that allows developers to build robust and scalable web applications quickly and efficiently. PostgreSQL is a powerful open-source relational database management system known for its reliability and performance.</p><p>Learning Django and PostgreSQL will give you a significant advantage in the job market and allow you to build more complex and sophisticated web applications.</p><p>Here are some of the benefits of learning Django and PostgreSQL:</p><ul><li>Django is a popular web framework with a large and active community. This means that there is a wealth of resources available to help you learn Django and get help when you need it.</li><li>Django is a powerful and versatile web framework that can be used to build a wide variety of web applications, from simple websites to complex e-commerce platforms.</li><li>PostgreSQL is a powerful and reliable database management system that is known for its performance and scalability.</li><li>PostgreSQL is also an open-source database, which means that it is free to use and distribute.</li></ul><p>So what are you waiting for? Enroll in this course today and start your journey to becoming a Django and PostgreSQL expert!</p></div></div> <div><h3> What Will You Learn?</h3><ul><li> <span></span> <span>Comprehensive coverage of Django web framework and PostgreSQL database</span></li><li> <span></span> <span>Practical projects to apply concepts learned</span></li><li> <span></span> <span>Hands-on experience with PostgreSQL as a database backend</span></li><li> <span></span> <span>Best practices for structuring Django projects and securing web applications</span></li><li> <span></span> <span>In-depth understanding of Django's ORM for database interactions</span></li><li> <span></span> <span>Integration of third-party libraries and Import</span></li><li> <span></span> <span>Real-world examples and use cases</span></li></ul></div><div><h3> Course Content</h3><div><div><h4> Getting Started</h4><div><div><ul><li><div> <span></span><h5> Introduction</h5></div><div> </div></li><li><div> <span></span><h5> Getting started on Windows, MacOS, and Linux</h5></div><div> </div></li><li><div> <span></span><h5> How to Ask Great Questions</h5></div><div> </div></li><li><div> <span></span><h5> FAQs</h5></div><div> </div></li></ul></div></div></div><div><h4> Setting Up a Python Development</h4><div><div><ul><li><div> <span></span><h5> Installing Python</h5></div><div> </div></li><li><div> <span></span><h5> Installing PyCharm IDE for Development</h5></div><div> </div></li><li><div> <span></span><h5> Creating the first Python Project</h5></div><div> </div></li><li><div> <span></span><h5> Write and Run Hello World Program</h5></div><div> </div></li><li><div> <span></span><h5> Command Line Basics</h5></div><div> </div></li><li><div> <span></span><h5> Installation and Access Pip Command</h5></div><div> </div></li></ul></div></div></div><div><h4> Django Setting Up the Project</h4><div><div><ul><li><div> <span></span><h5> Introduction to Web Framework and Django</h5></div><div> </div></li><li><div> <span></span><h5> Installing Django and Setting Up a Project</h5></div><div> </div></li><li><div> <span></span><h5> Understanding Django Architecture and Structured</h5></div><div> </div></li><li><div> <span></span><h5> Creating a Simple Django App</h5></div><div> </div></li></ul></div></div></div><div><h4> Building a Django App with PostgreSQL</h4><div><div><ul><li><div> <span></span><h5> Introduction to PostgreSQL and its Advantages for Web Applications</h5></div><div> </div></li><li><div> <span></span><h5> Installing PostgreSQL and Setting Up a Database</h5></div><div> </div></li><li><div> <span></span><h5> pgAdmin Secure Login and Create Database</h5></div><div> </div></li><li><div> <span></span><h5> Connection Django to PostgreSQL</h5></div><div> </div></li><li><div> <span></span><h5> Creating a Basic HTTP View Method Request</h5></div><div> </div></li><li><div> <span></span><h5> URL Pattern on App</h5></div><div> </div></li><li><div> <span></span><h5> Include Apps to Project URLs</h5></div><div> </div></li><li><div> <span></span><h5> Installing the Psycopg2 Module for DB Connection</h5></div><div> </div></li></ul></div></div></div><div><h4> Django Models and ORM (Object Relational Mapping)</h4><div><div><ul><li><div> <span></span><h5> Defining Models and Creating Database Tables</h5></div><div> </div></li><li><div> <span></span><h5> Using Djangos Built-in ORM to Interact with the Database</h5></div><div> </div></li><li><div> <span></span><h5> Migration to Create DB Tables</h5></div><div> </div></li><li><div> <span></span><h5> Assessment Test</h5></div><div> </div></li><li><div> <span></span><h5> Solution for an Assessment Test</h5></div><div> </div></li></ul></div></div></div><div><h4> Working with Admin Module</h4><div><div><ul><li><div> <span></span><h5> Creating Superuser as Admin</h5></div><div> </div></li><li><div> <span></span><h5> Authentication and Authorization</h5></div><div> </div></li><li><div> <span></span><h5> User Access Permissions</h5></div><div> </div></li><li><div> <span></span><h5> Registering User Models to the Admin Dashboard</h5></div><div> </div></li><li><div> <span></span><h5> Creating Data Using CRUD Functionality</h5></div><div> </div></li><li><div> <span></span><h5> View Data on the PostgreSQL Database Table</h5></div><div> </div></li></ul></div></div></div><div><h4> Django Views and Templates</h4><div><div><ul><li><div> <span></span><h5> Understanding the MVC - MVT</h5></div><div> </div></li><li><div> <span></span><h5> Creating Views and Handling HTTP Requests and Rendering Templates</h5></div><div> </div></li><li><div> <span></span><h5> Creating a Template with HTML Page</h5></div><div> </div></li><li><div> <span></span><h5> Building Dynamic Form and Handling</h5></div><div> </div></li></ul></div></div></div><div><h4> Django Form Design</h4><div><div><ul><li><div> <span></span><h5> Creating Bootstrap Template</h5></div><div> </div></li><li><div> <span></span><h5> Applying Bootstrap to Django Form</h5></div><div> </div></li><li><div> <span></span><h5> Creating Stunning Product Card items</h5></div><div> </div></li></ul></div></div></div><div><h4> Django Project: Registration form - Real world</h4><div><div><ul><li><div> <span></span><h5> Creating Model</h5></div><div> </div></li><li><div> <span></span><h5> Creating Forms</h5></div><div> </div></li><li><div> <span></span><h5> Creating Views</h5></div><div> </div></li><li><div> <span></span><h5> Applying ORM - Migrations</h5></div><div> </div></li><li><div> <span></span><h5> Creating My Form Template</h5></div><div> </div></li><li><div> <span></span><h5> Adding URLs</h5></div><div> </div></li><li><div> <span></span><h5> Creating Success_View Template</h5></div><div> </div></li><li><div> <span></span><h5> Project URLs Update and Adding Installed Apps</h5></div><div> </div></li><li><div> <span></span><h5> Run Project and Submit Data to Database</h5></div><div> </div></li></ul></div></div></div><div><h4> Django Reports</h4><div><div><ul><li><div> <span></span><h5> Creating Report_View Method</h5></div><div> </div></li><li><div> <span></span><h5> Creating Report_Template</h5></div><div> </div></li><li><div> <span></span><h5> Update URLs Pattern</h5></div><div> </div></li><li><div> <span></span><h5> Run Project and Test Reports</h5></div><div> </div></li></ul></div></div></div><div><h4> Course Resources</h4><div><div><ul><li><div> <span></span><h5> Course Resources</h5></div><div> <span> </span> <span></span></div></li></ul></div></div></div></div></div>A course by  Sekhar Metla  IT Industry Expert Material Includes  Download Resources and Reference Project Source Code  Django to PostgreSQL database connection Project Settings file RequirementsBasic knowledge of Python programmingUnderstanding of relational databases and SQL - optionalFamiliarity with web development concepts (HTML, CSS, and JavaScript) - optional Audience  Beginners Python Django developers curious about web application development  Web developers who want to learn how to build web applications using Django and PostgreSQL  Python developers who want to expand their skillset to web development  Students or professionals looking to enhance their web development skills with Django and PostgreSQL.<h3> Requirements</h3><ul><li><span></span><span>Basic knowledge of Python programming</span></li><li><span></span><span>Understanding of relational databases and SQL - optional</span></li><li><span></span><span>Familiarity with web development concepts (HTML, CSS, and JavaScript) - optional</span></li></ul>

PostgreSQL

Build Web Applications with Django and PostgreSQL

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their Python proficiencies.</p>Overview<p>In this course, students will expand their Python proficiencies.<br />Students will:<br />Create object-oriented Python applications.<br />Design and create a GUI. <br />Store data in a database from Python applications.<br />Communicate using client/server network protocols.<br />Manage multiple processes with threading.<br />Implement unit testing.<br />Package an application for distribution.</p><p>Students will build upon basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, threading, unit testing, and creating and installing packages.</p></div><div id="course-pills-2"><h4>Usinig Object-Oriented Python</h4><ul><li>Create and Use Classes in an Application </li><li>Use Magic Methods </li><li>Incorporate Class Factories</li></ul><h4>Creating a GUI</h4><ul><li>Design a GUI</li><li>Create and Arrange a GUI Layout</li><li>Interact with User Events</li></ul><h4>Using Databases</h4><ul><li>Basics of Data Management</li><li>Use SQLite Databases</li><li>Manipulate SQL Data</li></ul><h4>Network Programming</h4><ul><li>Basics of Network Programming</li><li>Create a Client/Server Program</li></ul><h4>Managing Multiple Processes with Threading</h4><ul><li>Create a Threaded Application</li><li>Manage Thread Resources</li></ul><h4>Implementing Unit Testing</h4><ul><li>Test-Driven Development</li><li>Write and Run a Unit Test Case</li><li>Create a Test Suite</li></ul><h4>Packaging an Application for Distribution</h4><ul><li>Create a Package Structure</li><li>Generate the Package Distribution Files</li><li>Generate a Windows Executable</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Python Programming - Advanced training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Python Programming - Advanced course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Online Course Creation

Professional Skills Course (PSC)

Trainers Course

Continuous Professional Development (CPD)

Python Programming - Advanced

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is appropriate for advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Students can apply the course skills to use Python in basic web development projects or automate or simplify common tasks with the use of Python scripts.</p>Overview<p>This skills-focused course is about 50% hands-on lab to lecture ratio, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Working in a hands-on learning environment led by our expert instructor, you'll learn how to:<br />Create working Python scripts following best practices<br />Use python data types appropriately<br />Read and write files with both text and binary data<br />Search and replace text with regular expressions<br />Work with with the standard library and its work-saving modules<br />Create 'real-world', professional Python applications<br />Know when to use collections such as lists, dictionaries, and sets<br />Work with Pythonic features such as comprehensions and iterators<br />Write robust code using exception handling</p><p>Introduction to Python Programming Basics is a hands-on Python programming course that teaches you the key skills you?ll need to get started with programming in Python to a solid foundational level.  The start of the course will lead you through writing and running basic Python scripts, and then guide you through how to use more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of  Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This course provides you with an excellent kick start for users new to Python and scripting, enabling you to quickly use basic Python skills on the job in a variety of ways.  You?ll be able use Python in basic web development projects, or use it to automate or simplify common tasks with the use of Python scripts. The course also serves as a solid primer course / foundation for continued Python study in support for next level web development with Python, using Python in DevOps, Python for data science / machine learning or Python for systems admin or networking support.</p></div><div id="course-pills-2"><h4>Python Quick View</h4><ul><li>What is Python?</li><li>Python timeline</li><li>Advantages/disadvantages</li><li>Installing Python</li><li>Getting help</li></ul><h4>The Python Environment</h4><ul><li>Starting Python</li><li>Using the interpreter</li><li>Running a Python script</li><li>Editors and IDEs</li></ul><h4>Getting Started with Python</h4><ul><li>Using variables</li><li>Builtin functions</li><li>String data</li><li>Numberic data</li><li>Converting types</li><li>Console input/output</li><li>Command line parameters</li></ul><h4>Flow Control</h4><ul><li>About flow control</li><li>The if statement</li><li>Relational and Boolean operators</li><li>while loops</li><li>Exiting from loops</li></ul><h4>Array Types</h4><ul><li>About array types</li><li>Lists and list methods</li><li>Tuples</li><li>Indexing and slicing</li><li>Iterating through a sequence</li><li>Sequence functions, keywords, and operators</li><li>List comprehensions and generators</li></ul><h4>Working with Files</h4><ul><li>File overview</li><li>Opening a text file</li><li>Reading a text file</li><li>Writing to a text file</li></ul><h4>Dictionaries and Sets</h4><ul><li>About dictionaries</li><li>Creating dictionaries</li><li>Iterating through a dictionary</li><li>About sets</li><li>Creating sets</li><li>Working with sets</li></ul><h4>Functions</h4><ul><li>Defining functions</li><li>Returning values</li><li>Parameters and arguments</li><li>Variable scope</li></ul><h4>Sorting</h4><ul><li>The sorted() function</li><li>Custom sort keys</li><li>Lambda functions</li><li>Sorting in reverse</li><li>Using min() and max()</li></ul><h4>Errors and Exception Handling</h4><ul><li>Exceptions</li><li>Using try/catch/else/finally</li><li>Handling multiple exceptions</li><li>Ignoring exceptions</li></ul><h4>Modules and Packages</h4><ul><li>Creating Modules</li><li>The import statement</li><li>Module search path</li><li>Using packages</li><li>Function and module aliases</li></ul><h4>Getting Started with Object Oriented Programming and Classes</h4><ul><li>About object-oriented programming</li><li>Defining classes</li><li>Constructors</li><li>Understanding self</li><li>Properties</li><li>Instance Methods and data</li><li>Class methods and data</li><li>Inheritance</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Introduction to Python Programming Basics (TTPS4800) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Introduction to Python Programming Basics (TTPS4800) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Computing Skills

Computer Skills

Python Scripting

Introduction to Python Programming Basics (TTPS4800)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This introductory-level Python course is geared for experienced users who want to use Python in web development projects, or  system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Basic familiarity with any programming or scripting language would be helpful, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.</p>Overview<p>This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom.  Throughout the hands-on course students, will learn to write essential Python scripts using the most current and efficient skills and techniques.<br />Working in a hands-on learning environment, guided by our expert team, attendees will learn to:<br />Create working Python scripts following best practices<br />Use python data types appropriately<br />Read and write files with both text and binary data<br />Search and replace text with regular expressions<br />Get familiar with the standard library and its work-saving modules<br />Use lesser known but powerful Python data types<br />Create 'real-world', professional Python applications<br />Work with dates, times, and calendars<br />Know when to use collections such as lists, dictionaries, and sets<br />Understand Pythonic features such as comprehensions and iterators<br />Write robust code using exception handling</p><p>Mastering Python Programming is an introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.  This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar.  Students will immediately be able to use Python to complete tasks in the real world.</p></div><div id="course-pills-2"><h4>An overview of Python </h4><ul><li>What is python? </li><li>Python Timeline  </li><li>Advantages/Disadvantages of Python  </li><li>Getting help with pydoc  </li></ul><h4>The Python Environment </h4><ul><li>Starting Python  </li><li>Using the interpreter  </li><li>Running a Python script  </li><li>Python scripts on Unix/Windows </li><li>Editors and IDEs  </li></ul><h4>Getting Started </h4><ul><li>Using variables  </li><li>Builtin functions  </li><li>Strings  </li><li>Numbers </li><li>Converting among types  </li><li>Writing to the screen  </li><li>Command line parameters  </li></ul><h4>Flow Control </h4><ul><li>About flow control  </li><li>White space  </li><li>Conditional expressions  </li><li>Relational and Boolean operators  </li><li>While loops  </li><li>Alternate loop exits </li></ul><h4>Array types </h4><ul><li>About array types (AKA sequences) </li><li>Lists and list methods  </li><li>Tuples  </li><li>Indexing and slicing  </li><li>Iterating through a sequence </li><li>Nested sequences  </li><li>Sequence functions, keywords, and operators  </li><li>List comprehensions  </li><li>Generator Expressions </li></ul><h4>Working with files </h4><ul><li>File overview </li><li>Opening a text file  </li><li>Reading a text file  </li><li>Writing to a text file </li><li>Reading and writing raw (binary) data </li><li>Converting binary data with struct </li></ul><h4>Dictionaries and Sets </h4><ul><li>About dictionaries  </li><li>Creating dictionaries  </li><li>Iterating through a dictionary  </li><li>About sets  </li><li>Creating sets  </li><li>Working with sets  </li></ul><h4>Functions </h4><ul><li>Defining functions  </li><li>Parameters   </li><li>Global and local scope </li><li>Nested functions  </li><li>Returning values  </li></ul><h4>Sorting </h4><ul><li>The sorted() function </li><li>Alternate keys  </li><li>Lambda functions  </li><li>Sorting collections </li><li>Using operator.itemgetter()  </li><li>Reverse sorting </li></ul><h4>Errors and Exception Handling </h4><ul><li>Syntax errors  </li><li>Exceptions  </li><li>Using try/catch/else/finally </li><li>Handling multiple exceptions  </li><li>Ignoring exceptions  </li></ul><h4>Modules and Packages </h4><ul><li>The import statement  </li><li>Module search path  </li><li>Creating Modules  </li><li>Using packages </li><li>Function and Module aliases  </li></ul><h4>An Introduction to Python Classes </h4><ul><li>About o-o programming </li><li>Defining classes </li><li>Constructors </li><li>Methods </li><li>Instance data </li><li>Properties </li><li>Class methods and data </li></ul><h4>Regular Expressions </h4><ul><li>RE syntax overview  </li><li>RE Objects  </li><li>Searching and matching  </li><li>Compilation flags  </li><li>Groups and special groups </li><li>Replacing text </li><li>Splitting strings </li></ul><h4>Using the Standard Library </h4><ul><li>The sys module  </li><li>Launching external programs  </li><li>Math functions  </li><li>Random numbers  </li><li>Reading CSV data </li></ul><h4>Dates and Times </h4><ul><li>Working with dates and times </li><li>Translating timestamps </li><li>Parsing dates from text </li><li>Formatting dates </li><li>Calendar data </li></ul><h4>Working with the File System </h4><ul><li>Paths, directories, and filenames  </li><li>Checking for existence </li><li>Permissions and other file attributes </li><li>Walking directory trees  </li><li>Creating filters with fileinput </li><li>Using shutil for file operations </li></ul><h4>Advanced Data Handling </h4><ul><li>Defaultdict and Counter </li><li>Prettyprinting data structures </li><li>Compressed archives (zip, gzip, tar, etc.) </li><li>Persistent data </li></ul><h4>Network Programming </h4><ul><li>Using requests </li><li>Grabbing web content </li><li>Sending email </li><li>Using SSH for remote access </li><li>Using FTP </li></ul><h4>Writing real-life applications </h4><ul><li>Reading input files a la Unix </li><li>Parsing command-line options </li><li>Detecting the current platform </li><li>Implementing logging </li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Mastering Python Programming (TTPS4820) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Mastering Python Programming (TTPS4820) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Mastering Python Programming (TTPS4820)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development.</p>Overview<p>In this course, you will develop simple command-line programs in Python. You will:<br />Set up Python and develop a simple application.<br />Declare and perform operations on simple data types, including strings, numbers, and dates.<br />Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets.<br />Write conditional statements and loops.<br />Define and use functions, classes, and modules.<br />Manage files and directories through code.<br />Deal with exceptions.</p><p>Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development?all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning.<br /><br />You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions.</p></div><div id="course-pills-2"><h4>Lesson 1: Setting Up Python and Developing a Simple Application</h4><ul><li>Topic A: Set Up the Development Environment</li><li>Topic B: Write Python Statements</li><li>Topic C: Create a Python Application</li><li>Topic D: Prevent Errors</li></ul><h4>Lesson 2: Processing Simple Data Types</h4><ul><li>Topic A: Process Strings and Integers</li><li>Topic B: Process Decimals, Floats, and Mixed Number Types</li></ul><h4>Lesson 3: Processing Data Structures</h4><ul><li>Topic A: Process Ordered Data Structures</li><li>Topic B: Process Unordered Data Structures</li></ul><h4>Lesson 4: Writing Conditional Statements and Loops in Python</h4><ul><li>Topic A: Write a Conditional Statement</li><li>Topic B: Write a Loop</li></ul><h4>Lesson 5: Structuring Code for Reuse</h4><ul><li>Topic A: Define and Call a Function</li><li>Topic B: Define and Instantiate a Class</li><li>Topic C: Import and Use a Module</li></ul><h4>Lesson 6: Writing Code to Process Files and Directories</h4><ul><li>Topic A: Write to a Text File</li><li>Topic B: Read from a Text File</li><li>Topic C: Get the Contents of a Directory</li><li>Topic D: Manage Files and Directories</li></ul><h4>Lesson 7: Dealing with Exceptions</h4><ul><li>Topic A: Handle Exceptions</li><li>Topic B: Raise Exceptions</li></ul></div>

Introduction to Programming with Python (v1.01)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course.</p>Overview<p>This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom.  Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques.<br />Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level):<br />How to work with Python interactively in web notebooks<br />The essentials of Python scripting<br />Key concepts necessary to enter the world of Data Science via Python</p><p>This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks.  This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.</p></div><div id="course-pills-2">This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks.  This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.</div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Data Science

NLP Practitioner

Teacher Training

Data Skills

Python for Data Science Primer: Hands-on Technical Overview (TTPS4872)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is aimed at anyone who wants to harness the power of data analytics in their organization including:<br />Business Analysts, Data Analysts, Reporting and BI professionals<br />Analytics professionals and Data Scientists who would like to learn Python</p>Overview<p>This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions.<br />Outcome: After attending this course, delegates will: <br />Be able to write effective Python code <br />Know how to access their data from a variety of sources using Python<br />Know how to identify and fix data quality using Python<br />Know how to manipulate data to create analysis ready data<br />Know how to analyze and visualize data to drive data driven decisioning across your organization</p><p>Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit.</p></div><div id="course-pills-2"><h4>From business questions to data analytics, and beyond</h4><ul><li>For data analytics tasks to affect business decisions they must be driven by a business question.  This section will formally outline how to move an analytics project through key phases of development from business question to business solution.  Delegates will be able:</li><li>to describe and understand the general analytics process. </li><li>to describe and understand the different types of analytics can be used to derive data driven solutions to business </li><li>to apply that knowledge to their business context</li></ul><h4>Basic Python Programming Conventions</h4><ul><li>This section will cover the basics of writing R programs. Topics covered will include:</li><li>What is Python?</li><li>Using Anaconda</li><li>Writing Python programs</li><li>Expressions and objects</li><li>Functions and arguments</li><li>Basic Python programming conventions</li></ul><h4>Data Structures in Python</h4><ul><li>This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include:</li><li>Vectors</li><li>Arrays and matrices </li><li>Factors</li><li>Lists</li><li>Data frames</li><li>Loading .csv files into Python</li></ul><h4>Connecting to External Data</h4><ul><li>This section will look at loading data from other sources into Python. Topics covered will include:</li><li>Loading .csv files into a pandas data frame</li><li>Connecting to and loading data from a database into a panda data frame</li></ul><h4>Data Manipulation in Python</h4><ul><li>This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include:</li><li>Filtering data</li><li>Deriving new fields</li><li>Aggregating data</li><li>Joining data sources</li><li>Connecting to external data sources</li></ul><h4>Descriptive Analytics and Basic Reporting in Python</h4><ul><li>This section will explain how Python can be used to perform basic descriptive. Topics covered will include:</li><li>Summary statistics</li><li>Grouped summary statistics</li><li>Using descriptive analytics to assess data quality</li><li>Using descriptive analytics to created business report</li><li>Using descriptive analytics to conduct exploratory analysis</li></ul><h4>Statistical Analysis in Python</h4><ul><li>This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include:</li><li>Significance tests</li><li>Correlation</li><li>Linear regressions</li><li>Using statistical output to create better business decisions.</li></ul><h4>Data Visualisation in Python</h4><ul><li>This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include:</li><li>Creating different chart types such as bar charts, box plots, histograms and line plots</li><li>Formatting charts</li></ul><h4>Best Practices Hints and Tips</h4><ul><li>This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.</li><li></li></ul></div>

Business Analytics & Intelligence

Excel Analytics

Big Data Analytics

Data Analyst

Python for Data Analytics

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is intended for:<br />Network administrators<br />Network engineers with little or no programming or Python experience<br />Network managers<br />Systems engineers</p>Overview<p>After taking this course, you should be able to:<br />Create a Python script<br />Describe data types commonly used in Python coding<br />Describe Python strings and their use cases<br />Describe Python loops, conditionals, operators, and their purposes and use cases<br />Describe Python classes, methods, functions, namespaces, and scopes<br />Describe the options for Python data manipulation and storage<br />Describe Python modules and packages, their uses, and their benefits<br />Explain how to manipulate user input in Python<br />Describe error and exception management in Python<br />Describe Python code debugging methods</p><p>The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Introducing Programmability and Python for Network Engineers</li><li>Scripting with Python</li><li>Examining Python Data Types</li><li>Manipulating Strings</li><li>Describing Conditionals, Loops, and Operators</li><li>Exploring Classes, Methods, Functions, Namespaces, and Scopes</li><li>Exploring Data Storage Options</li><li>Exploring Python Modules and Packages</li><li>Gathering and Validating User Input</li><li>Analyzing Exceptions and Error Management</li><li>Examining Debugging Methods</li></ul></div>

Cisco Certified Network Professional certification (CCNP)

CompTIA Network+

Network Engineer

Cisco Certified Entry Networking Technician (CCENT)

IT Networking Fundamentals

Computer Networking

Cisco Programming for Network Engineers v2.0 (PRNE)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is intended for:<br />Network administrators<br />Network engineers with little or no programming or Python experience<br />Network managers<br />Systems engineers</p>Overview<p>After taking this course, you should be able to:<br />Create a Python script<br />Describe data types commonly used in Python coding<br />Describe Python strings and their use cases<br />Describe Python loops, conditionals, operators, and their purposes and use cases<br />Describe Python classes, methods, functions, namespaces, and scopes<br />Describe the options for Python data manipulation and storage<br />Describe Python modules and packages, their uses, and their benefits<br />Explain how to manipulate user input in Python<br />Describe error and exception management in Python<br />Describe Python code debugging methods</p><p>The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>Introducing Programmability and Python for Network Engineers</li><li>Scripting with Python</li><li>Examining Python Data Types</li><li>Manipulating Strings</li><li>Describing Conditionals, Loops, and Operators</li><li>Exploring Classes, Methods, Functions, Namespaces, and Scopes</li><li>Exploring Data Storage Options</li><li>Exploring Python Modules and Packages</li><li>Gathering and Validating User Input</li><li>Analyzing Exceptions and Error Management</li><li>Examining Debugging Methods</li><li>Course Summary</li></ul></div>

One Education

Ultimate Python Programming Masterclass Course

Kuala Lumpur

<section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><h2 style="color: rgb(62, 57, 52); box-sizing: border-box;" fr-original-style=" color: rgb(62, 57, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">About this Classroom Training</strong></h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the upcoming digital era, Python stands out as the language of the future for effective AI and data analytics implementation, particularly in the Oil and Gas sector. Its widespread adoption is attributed to extensive libraries, versatility, and a thriving community of developers consistently pushing the boundaries of the field. This training course will tailor a transformative learning experience for professionals in oil and gas.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Commencing with overview in the computer programming, participants delve into programming fundamentals and set up their Python coding environment. Participants will be able to explore flow control tools and functions, unlocking the full potential of Python. Furthermore, participants will gain expertise in various programming paradigms, with a particular focus on Object-Oriented Programming (OOP), a crucial foundation for building sophisticated applications.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Participants will navigate through file handling, internal modules, and external libraries like NumPy, Pandas, and Matplotlib, providing proficiency in data manipulation and visualization tailored for the challenges of real-life projects. Through a hands-on Data Analytics Project, participants will apply their skills to a real-world dataset, derive insights, and present findings.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This comprehensive workshop equips professionals with the tools for effective automation and data analytics in the Oil and Gas sector. Participants will experience a robust understanding of Python&rsquo;s applications, ready to drive impactful and data-driven initiatives in their professional journey.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course will be delivered face-to-face over 5-day sessions, comprising of 8 hours per day, 1 hour lunch and 2 breaks of 15 minutes per day. Course Duration: 8 hours in total, 40 CPD points. Maximum number of participants: 30</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></section><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseOne" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING OBJECTIVES</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Acquire a comprehensive understanding of Python syntax, including variables, data types, and fundamental programming constructs.</li><li fr-original-style="" style="box-sizing: border-box;">Apply Python programming skills to analyze industry-specific datasets, extracting meaningful insights that can inform decision-making and operational efficiency.</li><li fr-original-style="" style="box-sizing: border-box;">Demonstrate the ability to automate routine tasks and streamline workflows within the Oil and Gas sector using Python.</li><li fr-original-style="" style="box-sizing: border-box;">Develop practical solutions and strategies using Python programming for challenges commonly faced in the industry, fostering hands-on experience and problem-solving capabilities.</li><li fr-original-style="" style="box-sizing: border-box;">Gain insights into emerging trends in digital technology within the industry and how Python can be leveraged for continuous adaptation and innovation.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseTwo" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TARGET AUDIENCE</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">All Engineers and Technologists from diverse fields who are interested in utilizing Python programming and data analytics techniques to explore and address challenges within their respective domains.</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysts and Scientists who working with data generated by sensors, monitoring equipment, and other sources within the industry.</li><li fr-original-style="" style="box-sizing: border-box;">IT and Automation Specialists who responsible for designing and implementing IT solutions and automation systems as well as who involve in developing and maintaining software application in the Oil and Gas sector.</li><li fr-original-style="" style="box-sizing: border-box;">Executives and Managers seeking a strategic understanding of how Python and data analytics can impact decision-making and operational efficiency in the industry.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals who interest in applying Python programming and data analytics techniques to study and solve challenges in the Oil and Gas field.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals from related industries or backgrounds who are transitioning into roles within the Oil and Gas sector and wish to acquire relevant Python skills.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals from diverse backgrounds who recognize the growing importance of data analytics in the Oil and Gas sector and wish to enhance their skill set.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapsecl" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE LEVEL</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Basic</li><li fr-original-style="" style="box-sizing: border-box;">Intermediate</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseThree" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING METHODS</strong></a><div data-parent="#accordion" 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 trainer will employ the &lsquo;learning by doing&rsquo; method by emphasizing practical application. Participants will be introduced to the concepts and theories using techniques that they can easily relate to. The learning experience is then reinforced by implementing the subject through real-life examples. The trainer will provide quizzes and tests for self-assessment and ensuring participants can measure their understanding and apply the knowledge effectively. This hands-on approach not only enhances comprehension but also empowers participants to confidently apply the learned skills in their professional endeavors.</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;">Preparation ahead of the Class:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Participants are required to download the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python 3.x</strong>&nbsp;version software onto their laptops.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The instructions are provided below:</p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Download&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Anaconda</strong>&nbsp;by visiting the Anaconda website (https://www.anaconda.com/products/distribution).</li><li fr-original-style="" style="box-sizing: border-box;">Click on the &ldquo;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Download</strong>&rdquo; button for the version that suits your operating system (Windows, macOS, Linux).</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Select the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python 3.x</strong>&nbsp;version (e.g., Python 3.8) during the installation process.</li><li fr-original-style="" style="box-sizing: border-box;">Install Anaconda follow the instructions to run the installer. Install Just Me (Recommended).</li></ol></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseFive" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINER</strong></a><div data-parent="#accordion" 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;">Your expert trainer is a seasoned multidisciplinary engineer with a 15-year professional journey, driven by an unwavering commitment to innovation and excellence. Armed with a Ph.D. in offshore engineering, he draws extensive insights from diverse industry sectors, notably oil and gas, where he served as a subsea pipeline engineer. His hands-on experience encompasses the entire spectrum, from design and manufacturing to installation and operations of offshore oil and gas facilities.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Previously at Rosen Group, your expert trainer developed digital tools for offshore structural assessments and risk-based inspection. He led research at the ARC Offshore Floating Facilities Hub on enhancing riser design and monitoring using Python and data analytics. He performed design verification for INPEX, Chevron, and Apache on subsea pipelines, risers, umbilicals, and LNG facilities, and was a deputy project manager on verifying the Ichthys gas pipeline. He conducted risk-based inspection and auditing of the Ichthys LNG plant for DNV GL. He also worked as a structural engineer at Advanced Building Engineers designing steel structures, buildings, and other components. Meanwhile, at the University of Western Australia (UWA), your expert trainer developed AI and data solutions for the oil &amp; gas industry focused on condition monitoring and probabilistic assessments and led research on offshore facilities by creating tools for analysis and machine learning.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His academic pursuit culminated in a thesis that underscores his proficiency in employing data science and machine learning, primarily through Python. His research focused on optimising asset integrity management for offshore oil and gas assets, showcasing a seamless integration of engineering and cutting-edge technology. In 2023, he fully unleash AI-driven solutions across diverse sectors. Currently, he actively contributes to mineral resource exploration and assists oil and gas operators in the effective implementation of new AI and digital technologies.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His dedication to knowledge dissemination is evident through his role as a global educator. Over the past five years, he has conducted Python programming lectures at universities and industries, reaching over 1000 novices. His unwavering commitment to lifelong learning, coupled with a growth mindset have positions him as a transformative trainer in the realms of applied AI, data science, and engineering in oil and gas sector</p><section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></section></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">POST TRAINING COACHING SUPPORT (OPTIONAL)</a><div data-parent="#accordion" 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;">To further optimise your learning experience from our courses, we also offer individualized &ldquo;One to One&rdquo; coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br fr-original-style="" style="box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Request%20for%20further%20information%20regarding%20post%20training%20coaching%20support" target="_blank" style="color: rgb(0, 123, 255); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 123, 255);">Request for further information post training support</a>&nbsp;and fees applicable.</p></div></section>

EnergyEdge - Training for a Sustainable Energy Future

Machine Learning (ML)

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

Assessment Based Training - Python Programming & Analytics for the Oil & Gas Sector - Maximising Value from Data Assets

Team of 10, pp

Normal Fee, pp

Redhill

<h3><b>Complete Python training course description</b></h3>
        <p> Python is an agile, robust, expressive, fully objectoriented,
          extensible, and scalable programming
          language. It combines the power of compiled
          languages with the simplicity and rapid development of
          scripting languages. This course covers Python from
          the very basics of 'hello world!' through to object
          oriented programming and advanced topics such as
          multi threading. Hands on follows all the major sections
          in order to reinforce the theory.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	    <li>Read Python programs.</li>
        <li>Write Python programs.</li>
        <li>Debug Python programs.</li>
        <li>Use Python's objects and memory model as well as
          its OOP features.</li>
        </ul>
        <h5>
        <b>Complete Python programming training course details</b></h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
               <p>Anyone wishing to learn Python. </p>
              
							<li><b>Prerequisites:</b></li>
							
             <p> None. </p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
             
              
						</ul>
					</div>
				</div>
       <h3><b>Complete Python programming training course contents</b></h3>
      <ul>
        <li>Welcome to Python: </li>
        <p> What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. </p>
        <li>Getting started: </li>
        <p> Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. </p>
        <li>Python basics: </li>
        <p> Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. </p>
        <li>Python Objects: </li>
        <p> Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. </p>
        <li>Numbers: </li>
        <p> Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. </p>
        <li>Sequences: strings, lists, and tuples: </li>
        <p> Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. </p>
        <li>Mapping and set types: </li>
        <p> Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. </p>
        <li>Conditionals and loops: </li>
        <p> If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. </p>
        <li>Files and input/output: </li>
        <p> File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. </p>
        <li>Errors and exceptions: </li>
        <p> What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. </p>
        <li>Functions: </li>
        <p> Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. </p>
        <li>Modules: </li>
        <p> Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. </p>
        <li>Object-Oriented Programming (OOP): </li>
        <p> Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. </p>
        <li>Execution environment: </li>
        <p> Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. </p>
        <li>Regular expressions: </li>
        <p> Special symbols and characters, REs and Python, Regular expressions example. </p>
        <li>Network programming: </li>
        <p> Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. </p>
        <li>Internet client programming: </li>
        <p> What are internet clients? Transferring files, Network news, E-mail. </p>
        <li>Multithreaded Programming: </li>
        <p> Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. </p>
        <li>GUI programming: </li>
        <p> Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. </p>
        <li>Web programming: </li>
        <p> Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. </p>
        <li>Database programming: </li>
        <p> Python database application programmer's interface (DB-API), ORMs. </p>
        <li>Miscellaneous </li>
        <p> Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.</p>
      </ul>

Systems & Network Training

Network & Security

Complete Python programming

"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

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 fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Did you know that Python is one of the most popular programming languages in the world, with a massive 8.2 million users? It&#39;s no wonder the demand for skilled Python programmers is increasing daily. If you&#39;re looking to learn Python and launch a career as a programmer, look no further than our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our bundle includes 10 comprehensive courses designed to give learners the aptitudes and understanding they need to become successful Python programmers. From Python programming for non-programmers to data science, machine learning, and web development, our courses cover everything you need to know to become a skilled Python programmer.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Why do people in the UK learn Python programming? Here&#39;s a startling statistic: the demand for Python programming skills has increased by 22.5% in the UK in the last year alone, with an average salary of &pound;45,000 per annum. By taking our Python Programmer Complete Bundle, learners can gain the skills and knowledge they need to take advantage of this growing demand and launch a successful career in programming.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">And the best part? Our bundle is endorsed by the Quality Licence Scheme, ensuring the highest quality of education. Upon completion of the courses, learners will receive <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">10 QLS Endorsed Certificates in Hard Copy, free of charge.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Take your first step towards a successful career in programming today with our <strong id="isPasted" fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed</strong> and become a proficient Python programmer in no time.<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></p><p id="isPasted" 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 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 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 01:</strong> Python Programming for Non-Programmers Level 5</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02:</strong> Python Data Science for Beginners</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> Machine Learning with Python</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> Azure Machine Learning</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> Statistics &amp; Probability for Data Science &amp; Machine Learning</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> Introduction to Java</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> HTML Web Development Crash Course</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> How To Build Easy Drag &amp; Drop Landing Pages With WordPress</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> Career Coaching</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> The Unstoppable Self-Confidence &amp; High Self-Esteem Blueprint</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><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamentals of Python programming</li><li fr-original-style="" style="box-sizing: border-box;">Use Python for data science and analysis</li><li fr-original-style="" style="box-sizing: border-box;">Apply machine learning techniques using Python</li><li fr-original-style="" style="box-sizing: border-box;">Understand the basics of Azure Machine Learning</li><li fr-original-style="" style="box-sizing: border-box;">Understand the basics of statistics and probability for data science and machine learning</li><li fr-original-style="" style="box-sizing: border-box;">Create web pages using HTML and WordPress</li><li fr-original-style="" style="box-sizing: border-box;">Develop the aptitudes and confidence needed to pursue a successful career in programming</li></ul><p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Why Choose Imperial Academy?</strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Fully Online Training</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">QLS Endorsed &amp; CPD Accredited Certificate</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">No Time Limits. Study at Your Own Pace</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Expert Instructors</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Audio Visual Training</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Up-to-date Curriculum and Valuable Guidelines</span></li></ul><h2 style="color: rgb(65, 65, 65); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(65, 65, 65);">Course&nbsp;Description</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed</strong> is a comprehensive package of ten courses designed to provide learners with the knowledge needed to become successful Python programmers. Our courses cover a wide range of topics, including Python programming for non-programmers, data science, machine learning, and web development.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Whether you&#39;re an aspiring programmer or a business owner looking to develop your website, our Python Programmer Complete Bundle has something for you. By completing our courses, learners will gain the skills and confidence needed to pursue a successful career in programming and data analysis. With our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Hard Copy Certificates,</strong> learners can be confident in the quality of their education and prepared to take advantage of the growing demand for Python programming skills.</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;">Certification:&nbsp;</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Quality Licence Scheme ensures excellence and quality. These courses&#39; learning outcomes also provide the learners with high competence in their line of work. So,<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> QLS Endorsed</strong> courses deliver deep knowledge and add significant value to the resume.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">After completing the assessments, learners will be eligible for a prestigious <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Certificate</strong> for each endorsed course in this bundle. Moreover, the certificates will be delivered to their home free of cost!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p><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;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals interested in a career in programming and data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to expand their knowledge of programming and data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Business owners seeking to develop their own websites and landing pages</li><li fr-original-style="" style="box-sizing: border-box;">Students seeking to gain the talents and expertise to pursue a career in programming and data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Anyone interested in developing the ability and confidence needed to succeed in the rapidly growing programming and data analysis field.</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;">Anyone can enrol in this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed</strong>.</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;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Python Developer: &pound;35,000 - &pound;75,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst: &pound;25,000 - &pound;45,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Engineer: &pound;50,000 - &pound;100,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Web Developer: &pound;25,000 - &pound;45,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Software Engineer: &pound;30,000 - &pound;60,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Analyst: &pound;30,000 - &pound;65,000 per annum</li></ul>
                        </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;">Hard Copy QLS Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">PDF Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">Student ID Card</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>

                        </div>

Imperial Academy

Python

Azure Machine Learning

Python Programmer Complete Bundle - QLS Endorsed

<h3><b>Network DevOps course description</b></h3>
      <p> This course is not a soft skills course covering the
concepts of DevOps but instead concentrates on the
technical side of tools and languages for network
DevOps. Particular technologies focussed on are
ansible, git and Python enabling delegates to leave the
course ready to starting automating their network.
Hands on sessions follow all major sections. More
detailed courses on individual aspects of this course
are available. </p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
   <li>Evaluate network automation tools.</li>

<li>Automate tasks with ansible.</li>
<li>Use git for version control.</li>
<li>Use Python to manage network devices.</li>
<li>Use Python libraries for network devices.
</li>
                  </ul>
        <h5>
        <b>Network DevOps course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Administrators automating tasks.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>TCP/IP Foundation</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Network DevOps course contents</b></h3>
      <ul>
				<li>What is DevOps </li><p>
Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations.

</p><li>Initial configuration </li><p>
Configuring SSH, ZTP, POAP.
<br /><span>Hands on</span> Initial lab configuration.

</p><li>Getting started with ansible </li><p>
The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles.
<br /><span>Hands on</span> Installing ansible, running ad hoc commands.

</p><li>Ansible playbooks </li><p>
ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module.
<br /><span>Hands on</span> Running playbooks.

</p><li>Ansible Inventories </li><p>
/etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts.
<br /><span>Hands on</span> Static inventories, variables in inventory files.

</p><li>Ansible modules for networking </li><p>
Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI.
<br /><span>Hands on</span> Using modules.

</p><li>Ansible templating and roles </li><p>
aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles.
<br /><span>Hands on</span> Generating multiple configurations from a template.

</p><li>Network programming and modules </li><p>
	Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices.

</p><li>Programming with Python </li><p>
Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal.
<br /><span>Hands on</span> Python programming with pyping.

</p><li>More Python programming </li><p>
Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install.
<br /><span>Hands on</span> Python programming with pyping.

</p><li>Git  </li><p>
	Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts.
<br /><span>Hands on</span> working with Git.

</p><li>Python and networking </li><p>
APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse.

</p><li>Paramiko SSH and Netmiko </li><p>
Integrating Python and network devices using SSH. Netmiko, Netmiko methods.
<br /><span>Hands on</span> Netmiko.

</p><li>NAPALM </li><p>
What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard.
<br /><span>Hands on</span> Configuration with NAPALM. Integrating ansible and NAPALM.

</p><li>Python and REST </li><p>
REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library.
<br /><span>Hands on</span> Using a REST API with network devices.</p>
      </ul>

DevOps for networking engineers

<h3><b>Network automation course description</b></h3>
      <p>This course is not a soft skills course covering the
concepts of DevOps but instead concentrates on the
technical side of tools and languages for network
DevOps. Particular technologies focussed on are
ansible, git and Python enabling delegates to leave the
course ready to starting automating their network.
Hands on sessions follow all major sections. More
detailed courses on individual aspects of this course
are available.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
					
					<li>Evaluate network automation tools.</li>

<li>Automate tasks with ansible.</li>
<li>Use git for version control.</li>
<li>Use Python to manage network devices.</li>
<li>Use Python libraries for network devices.
</li>
                  </ul>
        <h5>
        <b>Network automation course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Network engineers.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>TCP/IP foundation for engineers.</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Network automation course contents</b></h3>
      <ul>
				<li>What is DevOps </li><p>
					Programming and automating networks, networks
and clouds, AWS, OpenStack, SDN, DevOps for
network operations.
</p><li>Initial configuration </li><p>
Configuring SSH, ZTP, POAP. <br /><span>Hands on</span> Initial
lab configuration.
</p><li>Getting started with ansible </li><p>
The language, the engine, the framework. Uses of
ansible, orchestration. The architecture,
Controlling machines, nodes, Agentless, SSH,
modules. Configuration management, inventories,
playbooks, modules, roles. <br /><span>Hands on</span> Installing
ansible, running ad hoc commands.
</p><li>Ansible playbooks </li><p>
ansible-playbook, YAML, plays, tasks, handlers,
modules. Playbook variables. Register module,
debug module. <br /><span>Hands on</span> Running playbooks.
</p><li>Ansible Inventories </li><p>
/etc/ansible/hosts, hosts, groups, static
inventories, dynamic inventories. Inventory
variables, external variables. Limiting hosts.
<br /><span>Hands on</span> Static inventories, variables in inventory
files.
				</p><li>Ansible modules for networking </li><p>
Built in modules, custom modules, return values.
Core modules for network operations. Cisco and/
or Juniper modules. ansible_connection. Ansible
2.6 CLI. <br /><span>Hands on</span> Using modules.
</p><li>Ansible templating and roles </li><p>
Configuration management, full configurations,
partial configurations. The template module, the
assemble module, connection: local, Jinja2
templates, variables, if, for, roles. <br /><span>Hands on</span>
Generating multiple configurations from a
template.
</p><li>Network programming and modules </li><p>
Why use Python? Why use ansible? alternatives,
ansible tower, Linux network devices.
</p><li>Programming with Python </li><p>
Scripting versus application development, Python
interactive mode, Python scripts, Python 2.7 vs
Python 3. A simple Python script. Variables,
loops, control statements, operators. PEP style
guide. Python IDEs. <br /><span>Hands on</span> Simple Python
programs.
</p><li>More Python programming </li><p>
Functions. Classes, objects and instances,
modules, libraries, packages. Python strings,
Python file handling, pip list, pip install, <br /><span>Hands on</span>
Python programming with pyping.
</p><li>Git </li><p>
Distributed version control, repositories, Git and
GitHub, Alternatives to GitHub, Installing git, git
workflows, creating repositories, adding and
editing files, branching and merging, merge
conflicts. Hands on working with Git.
</p><li>Python and networking </li><p>
APIs, Sockets, Telnetlib, pysnmp, ncclient,
ciscoconfparse.
</p><li>Paramiko SSH and Netmiko </li><p>
Integrating Python and network devices using
SSH. Netmiko, Netmiko methods. <br /><span>Hands on</span>
Netmiko.
</p><li>PyEZ </li><p>
Juniper, NETCONF, installing PyEZ, a first pyEZ
script, pyEZ configuration management. <br /><span>Hands on</span> Juniper configuration management with pyEZ.
</p><li>NAPALM </li><p>
What is NAPALM, NAPALM operations, getters,
Replace, merge, compare, commit, discard.
<br /><span>Hands on</span> Configuration with NAPALM.
Integrating ansible and NAPALM.
</p><li>Python and REST </li><p>
REST APIs, enabling the REST API. Accessing
the REST API with a browser, cURL, Python and
REST, the request library. <br /><span>Hands on</span> Using a
REST API with network devices.
</p>
      </ul>

Network automation for engineers

<h3><b>CCNP training course description</b></h3>
        <p>The Implementing and Operating Cisco Enterprise
Network Core Technologies (ENCOR) v1.2 course
provides the knowledge and skills needed to configure,
troubleshoot, and manage enterprise wired and
wireless networks. You'll learn to implement security
principles within an enterprise network and how to
overlay network design using solutions such as SDAccess and SD-WAN. Course content includes 3 days
of self-study material. This course helps you prepare for
the 350-401 Implementing Cisco Enterprise Network
Core Technologies (ENCOR) exam</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
     <li>Configure, troubleshoot, and manage enterprise
wired and wireless networks</li>
<li> Implement security principles within an enterprise
network</li>
<li> Prepare you prepare to take the 350-401
Implementing Cisco Enterprise Network Core
Technologies (ENCOR) exam
</li>
 
                  </ul>
        <h5>
        <b>CCNP training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>
   Mid-level network engineers, Network administrators,
Network support technicians, Help desk technicians.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>Implementation of Enterprise LAN networks. Basic
understanding of Enterprise routing and wireless
connectivity, and Python scripting</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days</p>
              
							
              
              
						</ul>
					</div>
				</div>
			
				 <h3><b>CCNP training course content</b></h3>
				
      <ul>
				<li>Cisco Enterprise Network Architecture:</li>

 Access,
distribution, core in the hierarchical network.
Cisco Switching Paths: Switching mechanisms, TCAM,
CAM, process switching, fast switching, and CEF.
		  <li>
Implementing Campus LAN Connectivity:</li> Troubleshoot
L2 connectivity using VLANs and trunking<br />
		  <b>Building Redundant Switched Topology:</b> STP<br />
		  
Implementing Layer 2 Port Aggregation<br />
Troubleshoot link aggregation using Etherchannel<br />
EIGRP<br />
Implement and optimize OSPFv2/v3, including
adjacencies, packet types, and areas, summarization,
and route filtering for IPv4/v6<br />
Implement EBGP interdomain routing, path selection,
and single and dual-homed networking<br />
		  <b>Implementing Network Redundancy:</b> HSRP and VRRP<br />
Implement static and dynamic NAT<br />
Virtualization Protocols and Techniques<br />
		  <b>VPNs and Interfaces:</b> Overlay technologies such as VRF,
GRE, VPN, and LISP
		  <b>Wireless Principles:</b> RF, antenna characteristics, and
wireless standards.<br />
<b>Wireless Deployment:</b> Models available, autonomous AP
deployments and cloud-based designs within the
centralized Cisco WLC architecture<br />
Wireless Roaming and Location Services<br />
<b>Wireless AP Operation:</b> How APs communicate with
WLCs to obtain software, configurations, and centralized
management<br />
<b>Wireless Client Authentication:</b> EAP, WebAuth, and PSK
wireless client authentication on a WLC.<br />
Troubleshoot wireless client connectivity issues using
various available tools<br />
Troubleshoot networks using services such as NTP,
SNMP, Cisco IP SLAs, NetFlow, and Cisco IOS EEM
Explain network analysis and troubleshooting tools,
which include show and debug commands, as well as
best practices in troubleshooting<br />
<b>Multicast Protocols:</b> IGMP v2/v3, PIM DM/SM and RPs
<b>Introducing QoS:</b> Concepts and features.<br />
Implementing Network Services: Secure administrative
access for Cisco IOS devices using CLI access, RBAC,
ACL, and SSH, and device hardening concepts to secure
devices from less secure applications<br />
Using Network Analysis Tools<br />
<b>Infrastructure Security:</b> Scalable administration using
AAA and the local database, features and benefits<br />
Enterprise Network Security Architecture: VPNs,
content security, logging, endpoint security, personal
firewalls, and other security features.<br />
Automation and Assurance with Cisco DNA Center:
Purpose, function, features, and workflow. Intent-Based
Networking, for network visibility, proactive monitoring,
and application experience<br />
<b>Cisco SD-Access Solution:</b> Nodes, fabric control plane,
and data plane, VXLAN gateways<br />
<b>Cisco SD-WAN Solution:</b> Components and features of
Cisco SD-WAN solutions, including the orchestration,
management, control, and data planes<br />
	<b>Basics of Python Programming:</b> Python components
and conditionals with script writing and analysis<br />
Network Programmability: NETCONF and RESTCONF
		  APIs in Cisco DNA Center and vManage<p></p>

<li>Labs: </li><p>
Investigate the CAM. Analyze CEF. Troubleshoot
VLAN and Trunk Issues. Tuning STP and Configuring
RSTP. Configure MSTP. Troubleshoot EtherChannel.
Implement Multi-area OSPF. Implement OSPF Tuning.
Apply OSPF Optimization. Implement OSPFv3.
Configure and Verify Single-Homed EBGP.
Implementing HSRP. Configure VRRP. Implement
NAT. Configure and Verify VRF. Configure and Verify a
GRE Tunnel. Configure Static VTI Point-to-Point
Tunnels. Configure Wireless Client Authentication in a
Centralized Deployment. Troubleshoot Wireless Client
Connectivity Issues. Configure Syslog. Configure and
Verify Flexible NetFlow. Configuring Cisco IOS EEM.
Troubleshoot Connectivity and Analyze Traffic with
Ping, Traceroute, and Debug. Configure and Verify
Cisco IP SLAs. Configure Standard and Extended
ACLs. Configure Control Plane Policing. Implement
Local and Server-Based AAA. Writing and
Troubleshooting Python Scripts. Explore JSON Objects
and Scripts in Python. Use NETCONF Via SSH. Use
RESTCONF with Cisco IOS XE. 
</p>
      </ul>

CCNP core

Hudson

This course bundle is ideal for anyone looking to establish their Cisco networking career. It consists of one Cisco Certified Network Associate (CCNA) certification, one Cisco Certified DevNet Associate (CCDA) certification, and four Cisco Certified Networking Professional (CCNP) certifications. Although there are no formal prerequisites to enrol on the CCNA, CCDA, or CCNP certification courses and sit the exams, learners should have a good foundation knowledge in networking. The newly retooled CCNA covers a breadth of topics, including:
 

Network fundamentals
Network access
IP connectivity
IP services
Security fundamentals
Automation and programmability

Achieving CCNA certification is the first step in preparing for a career in networking technologies. To earn your CCNA certification, you only need to pass one exam – which covers a broad range of fundamentals for IT careers, based on the latest networking technologies.
 
The Cisco Certified DevNet Associate certification validates your skills and knowledge in understanding and using APIs, Cisco platforms and development, application development and security, and infrastructure and automation. Ideally, DevNet Associates candidates also have one or more years of experience with software development including Python programming.
 
The CCNP is the next level from the CCNA and CCDA. As with the CCNA, there are no formal prerequisites to enrol on the CCNP certification course and sit for the exams. Learners taking a CCNP course generally have an in-depth knowledge of networking, as well as a good understanding of Cisco technologies. The typical certification path for most learners would begin with either the CCDA or CCNA, then progress onto the CCNP.
 
Learners need to pass two exams (one core exam and one concentration exam) in order to gain one CCNP certification. This course bundle includes the core exam and three concentration exams. Once a learner has passed the core exam, they can choose to specialise in one or all three of the CCNP concentration areas listed in this course. The core exam’s focus is based around implementing and operating Cisco enterprise network core technologies.

Complete Cisco Bundle with 6 Exams

General admission

<strong>Learn Python programming by developing robust GUIs and games</strong>
        <p>Coding for beginners and kids is now made exciting and easy. Learn to code fun?games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You'll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you'll get to grips with developing educational software. In addition to this, you'll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners</p>
        <h2>What You Will Learn</h2><p>Build simple Python-based games using programming loops and functions<br>Draw graphics using the Python module Turtle<br>Develop Python graphical user interfaces with Tkinter<br>Understand how to work with Python 2 and 3<br>Use the in-built Python modules for your projects<br>Use Microsoft Visual Studio Code-a powerful IDLE for programming and development in Python and other languages</p>
        <h2>Audience</h2><p>If you are interested in developing your Python skills, working through real-life programming projects, or building exciting games and GUIs, then this course is for you.</p>
        <h2>Approach</h2><p>The course provides detailed instructions for everything from Python installation to getting started with Microsoft Visual Code. It features helpful coding instructions, along with code examples. Each video will teach you a new programming?concept?that you can apply in real time. The course also helps you reinforce your learning with fun quizzes.</p>
        <h2>Key Features</h2><p>Learn the basics of Python game programming * Develop intuitive and efficient Python GUIs * Create simple yet practical applications in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/project-based-python-programming-for-kids-and-beginners</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Project Based Python Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Course & Me</p><p style='margin: 0'>Introduction to Project Based Python Programming: Introduction to the Course & Me</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Installation for Windows</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Installation for Other OS</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Other OS</p></td></tr><tr><td style='padding: 15px;'><p>4. Online Python IDLE</p><p style='margin: 0'>Introduction to Project Based Python Programming: Online Python IDLE</p></td></tr><tr><td style='padding: 15px;'><p>5. Hello World in Python</p><p style='margin: 0'>Introduction to Project Based Python Programming: Hello World in Python</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Coding with Visual Studio</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Coding with Visual Studio</p></td></tr><tr><td style='padding: 15px;'><p>7. Some Common Python Terms</p><p style='margin: 0'>Introduction to Project Based Python Programming: Some Common Python Terms</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusion to Section 1</p><p style='margin: 0'>Introduction to Project Based Python Programming: Conclusion to Section 1</p></td></tr></tbody></table><br><h4>2. Diving into the Python Basics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic Arithmetic in Python</p><p style='margin: 0'>Diving into the Python Basics: Basic Arithmetic in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Welcome to the World of Data Types</p><p style='margin: 0'>Diving into the Python Basics: Welcome to the World of Data Types</p></td></tr><tr><td style='padding: 15px;'><p>3. Random Number Generation</p><p style='margin: 0'>Diving into the Python Basics: Random Number Generation</p></td></tr><tr><td style='padding: 15px;'><p>4. Working With Strings</p><p style='margin: 0'>Diving into the Python Basics: Working With Strings</p></td></tr><tr><td style='padding: 15px;'><p>5. Get User Inputs</p><p style='margin: 0'>Diving into the Python Basics: Get User Inputs</p></td></tr><tr><td style='padding: 15px;'><p>6. Tuples</p><p style='margin: 0'>Diving into the Python Basics: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>7. Lists</p><p style='margin: 0'>Diving into the Python Basics: Lists</p></td></tr><tr><td style='padding: 15px;'><p>8. Dictionaries</p><p style='margin: 0'>Diving into the Python Basics: Dictionaries</p></td></tr><tr><td style='padding: 15px;'><p>9. Defining our Own Functions in Python-Basic</p><p style='margin: 0'>Diving into the Python Basics: Defining our Own Functions in Python-Basic</p></td></tr><tr><td style='padding: 15px;'><p>10. Some More On Functions</p><p style='margin: 0'>Diving into the Python Basics: Some More On Functions</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusions to Section 2</p><p style='margin: 0'>Diving into the Python Basics: Conclusions to Section 2</p></td></tr></tbody></table><br><h4>3. Decision Making with Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Rationale for this section</p><p style='margin: 0'>Decision Making with Programming: Rationale for this section</p></td></tr><tr><td style='padding: 15px;'><p>2. if-else loops</p><p style='margin: 0'>Decision Making with Programming: if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>3. elif in if-else loops</p><p style='margin: 0'>Decision Making with Programming: elif in if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>4. while loop</p><p style='margin: 0'>Decision Making with Programming: while loop</p></td></tr><tr><td style='padding: 15px;'><p>5. for loop</p><p style='margin: 0'>Decision Making with Programming: for loop</p></td></tr><tr><td style='padding: 15px;'><p>6. More on Loops</p><p style='margin: 0'>Decision Making with Programming: More on Loops</p></td></tr><tr><td style='padding: 15px;'><p>7. Nested For Loop</p><p style='margin: 0'>Decision Making with Programming: Nested For Loop</p></td></tr><tr><td style='padding: 15px;'><p>8. Build a Number Guessing Game!!-Basic</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Basic</p></td></tr><tr><td style='padding: 15px;'><p>9. Build a Number Guessing Game!!-Advanced</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Advanced</p></td></tr><tr><td style='padding: 15px;'><p>10. OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p><p style='margin: 0'>Decision Making with Programming: OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusion to Section 3</p><p style='margin: 0'>Decision Making with Programming: Conclusion to Section 3</p></td></tr></tbody></table><br><h4>4. Graphics with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working With Graphics in Python</p><p style='margin: 0'>Graphics with Python: Working With Graphics in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Draw a Square</p><p style='margin: 0'>Graphics with Python: Draw a Square</p></td></tr><tr><td style='padding: 15px;'><p>3. The Idea Behind Angles</p><p style='margin: 0'>Graphics with Python: The Idea Behind Angles</p></td></tr><tr><td style='padding: 15px;'><p>4. Draw a Rectangle Using Loops</p><p style='margin: 0'>Graphics with Python: Draw a Rectangle Using Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. Create a Rectangle Function</p><p style='margin: 0'>Graphics with Python: Create a Rectangle Function</p></td></tr><tr><td style='padding: 15px;'><p>6. Code Along1: Draw an Equilateral Triangle</p><p style='margin: 0'>Graphics with Python: Code Along1: Draw an Equilateral Triangle</p></td></tr><tr><td style='padding: 15px;'><p>7. Code Along2: Draw an Equilateral Triangle With Loops</p><p style='margin: 0'>Graphics with Python: Code Along2: Draw an Equilateral Triangle With Loops</p></td></tr><tr><td style='padding: 15px;'><p>8. Code an Irregular Shape: Start a Snowflake</p><p style='margin: 0'>Graphics with Python: Code an Irregular Shape: Start a Snowflake</p></td></tr><tr><td style='padding: 15px;'><p>9. Snowflakes!!</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr><tr><td style='padding: 15px;'><p>10. Conclusions to Section 4</p><p style='margin: 0'>Graphics with Python: Conclusions to Section 4</p></td></tr></tbody></table><br><h4>5. GUI Programming with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Start with GUIs in Python</p><p style='margin: 0'>GUI Programming with Python: Start with GUIs in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Create a Simple Button With tkinter</p><p style='margin: 0'>GUI Programming with Python: Create a Simple Button With tkinter</p></td></tr><tr><td style='padding: 15px;'><p>3. Add Functionality to the Button</p><p style='margin: 0'>GUI Programming with Python: Add Functionality to the Button</p></td></tr><tr><td style='padding: 15px;'><p>4. The Tkinter Grid</p><p style='margin: 0'>GUI Programming with Python: The Tkinter Grid</p></td></tr><tr><td style='padding: 15px;'><p>5. Common Tkinter GUI Widgets</p><p style='margin: 0'>GUI Programming with Python: Common Tkinter GUI Widgets</p></td></tr><tr><td style='padding: 15px;'><p>6. Canvas for Drawing-part1</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part1</p></td></tr><tr><td style='padding: 15px;'><p>7. Canvas for Drawing-part2</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part2</p></td></tr><tr><td style='padding: 15px;'><p>8. Simple Expression Evaluator</p><p style='margin: 0'>GUI Programming with Python: Simple Expression Evaluator</p></td></tr><tr><td style='padding: 15px;'><p>9. Start With the Temperature Conversion App</p><p style='margin: 0'>GUI Programming with Python: Start With the Temperature Conversion App</p></td></tr><tr><td style='padding: 15px;'><p>10. Complete the App-1</p><p style='margin: 0'>GUI Programming with Python: Complete the App-1</p></td></tr><tr><td style='padding: 15px;'><p>11. Complete the App-2</p><p style='margin: 0'>GUI Programming with Python: Complete the App-2</p></td></tr></tbody></table>

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