Name: Fundamentals of Machine Learning
Price: 41.99 GBP
Availability: InStock

<p>Python is like a never-ending adventure, and if you've already taken your first steps into this magical world, then it's time to dive deeper. Are you ready to take your Python skills to the next level and unleash your potential? Our Python Intermediate Training course is here to help you do just that.</p><p>In this course, you'll learn everything you need to know to master Python's intermediate level concepts. From working with matrices to manipulating lists and dictionaries, this course will provide you with the skills and knowledge you need to become a proficient Python developer. You'll learn how to manipulate data structures to solve complex problems and write efficient and elegant code that will set you apart from the crowd.</p><p>So if you're ready to level up your Python skills and take your programming career to the next level, enrol in our Python Intermediate Training course today and join the ranks of Python masters.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Gain a deeper understanding of intermediate-level Python concepts.</li><li>Learn how to work with matrices and manipulate lists and dictionaries.</li><li>Discover how to use Python to solve complex problems and write efficient and elegant code.</li><li>Understand how to manipulate data structures and perform advanced data analysis tasks.</li><li>Learn how to use Python to build real-world projects and applications.</li></ul><p>The Python Intermediate Training course is designed to provide you with the skills and knowledge you need to become a proficient Python developer. Whether you're a beginner or an experienced programmer looking to enhance your Python skills, this course is perfect for you. Starting with the basics of matrices and lists and moving on to more advanced topics, such as dictionaries and data analysis, this course covers everything you need to know to become a proficient Python developer. You'll learn how to manipulate data structures, perform advanced data analysis tasks, and use Python to build real-world projects and applications.</p><p><strong>â±â± </strong><strong>Python Intermediate Training</strong><strong> Course Curriculum </strong></p><p><strong>Section 01: Introduction</strong></p><ul><li>Course Introduction</li></ul><p><strong>Section 02: Matrix in Python</strong></p><ul><li>Working on Matrix in Python</li><li>Working on Matrix in Python Continued</li><li>Performing Sort</li></ul><p><strong>Section 03: Working on List in Python</strong></p><ul><li>Merging to Dictionaries</li><li>Concatenation of List Example</li><li>Excepting Values in List and Adding those Using for Loop</li><li>Excepting Values in List and Adding Those Using While Loop</li><li>Performing Arithmetic Operation on List</li><li>Data Structure in Python</li><li>Data Structure in Python Continued</li></ul><p><strong>Section 04: Lists &amp; Dictionaries in Python</strong></p><ul><li>List and Dictionary in Python</li><li>List and Dictionary in Python Continued</li><li>Various Sorting Methods in Python Part 1</li><li>Various Sorting Methods in Python Part 2</li><li>Binary Search Example</li><li>Reversing a String</li><li>Dictionary Examples</li><li>More on List and Dictionary Examples</li><li>String Examples</li></ul><p><strong>How is the course assessed?</strong></p><p>Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.</p><p><strong>Exam &amp; Retakes:</strong><br />It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.<br /><strong>Certification</strong><br />Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Python beginners who want to take their skills to the next level.</li><li>Experienced programmers who want to expand their Python skills and knowledge.</li><li>Data analysts who want to use Python for advanced data analysis tasks.</li><li>Entrepreneurs who want to develop their own Python-based applications.</li><li>Students who want to enhance their Python skills and prepare for a career in programming.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal entry requirements for the course, with enrollment open to anyone!</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Python Developer: £28,000 - £55,000</li><li>Data Analyst: £24,000 - £45,000</li><li>Software Engineer: £28,000 - £60,000</li><li>Technical Lead: £40,000 - £90,000</li><li>Chief Technology Officer: £90,000 - £250,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p>You can apply for a CPD Accredited PDF Certificate at the cost of £9.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p>Hard copy can be sent to you via post at the expense of £15.</p> </div>

                        </div>

One Education

Python Intermediate Training Course

General Admission

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					<div><p><span>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Machine Learning Course Using Python</span><span> has been specially designed to help learners gain a good command of Machine Learning Course Using Python</span><span>, providing them with a solid foundation of knowledge to become a qualified professional.</span></p><p><span>Through this Machine Learning Course Using Python</span><span>, you will gain both practical and theoretical understanding of Machine Learning Course Using Python</span><span> that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</span></p><p><span>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</span></p></div>
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										<span>Get a deep understanding of the Machine Learning Course Using Python just in hours not years</span>
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										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
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										<span>Know how to use your theoretical and practical knowledge to adapt in any working environment</span>
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										<span>Get help from our expert tutors anytime you need</span>
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										<span> Access to course contents that are designed and prepared by industry professionals</span>
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										<span>Study at your convenient time and from wherever you want </span>
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										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
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										<span>Access to any internet-enabled smart device.</span>
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				<h2>Why should I take this course?</h2>
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										<span>1+ hours of on-demand video lectures and downloadable resources.</span>
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										<span>You will receive a completion certificate upon completing the course.</span>
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										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
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										<span>You will learn the researched and proven approach adopted by successful salespeople to transform their careers.</span>
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										<span>You will be able to incorporate various practical sales techniques successfully and understand your customers better.</span>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Module 01: Introduction to Machine Learning Algorithms</strong></td>
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					<td>Introduction to types of ML algorithm</td><td><span>🕐 00:02:00</span></td>
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					<td colspan="4"><strong>Module 02: Preprocessing</strong></td>
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					<td>Importing a dataset in python</td><td><span>🕐 00:02:00</span></td>
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					<td>Resolving Missing Values</td><td><span>🕐 00:06:00</span></td>
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					<td>Managing Category Variables</td><td><span>🕐 00:04:00</span></td>
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					<td>Training and Testing Datasets</td><td><span>🕐 00:07:00</span></td>
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					<td>Normalizing Variables</td><td><span>🕐 00:02:00</span></td>
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					<td>Normalizing Variables - Python Code</td><td><span>🕐 00:03:00</span></td>
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					<td>Summary</td><td><span>🕐 00:01:00</span></td>
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					<td colspan="4"><strong>Module 03: Regression</strong></td>
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					<td>Simple Linear Regression - How it works?</td><td><span>🕐 00:04:00</span></td>
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					<td>Simple Linear Regreesion - Python Implementation</td><td><span>🕐 00:07:00</span></td>
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					<td>Multiple Linear Regression - Python Implementation</td><td><span>🕐 00:09:00</span></td>
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					<td>Decision Trees and Random Forest - Python Implementation</td><td><span>🕐 00:04:00</span></td>
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					<td>kNN - How it works?</td><td><span>🕐 00:02:00</span></td>
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					<td>kNN - Python Implementation</td><td><span>🕐 00:10:00</span></td>
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					<td>Decision Tree Classifier and Random Forest Classifier in Python</td><td><span>🕐 00:10:00</span></td>
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					<td>SVM - Python Implementation</td><td><span>🕐 00:06:00</span></td>
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					<td colspan="4"><strong>Resources</strong></td>
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					<td>Resources - Machine Learning with Python</td><td><span>🕐 00:00:00</span></td>
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Skill Up

Learning & Development

Online Course Marketing

Machine Learning (ML)

Learning To Learn

Trainers Course

Azure Machine Learning

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Machine Learning Course Using Python

<p>Have you already conquered the basics of Python programming and are you ready to take your skills to the next level? Are you looking for a challenge and an opportunity to dive into the world of advanced Python concepts? Our Python Advanced Training course is here to help you do just that.</p><p>In this course, you'll learn everything you need to know to master Python's advanced level concepts. From file handling to working with classes and library functions, this course will provide you with the skills and knowledge you need to become a proficient Python developer. You'll learn how to create efficient and maintainable code using classes and advanced file handling techniques. Additionally, you'll discover how to use library functions to streamline your workflow and take your Python development skills to the next level.</p><p>So if you're ready to tackle advanced Python concepts and become a master Python developer, enroll in our Python Advanced Training course today and take your programming career to new heights.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Gain a deeper understanding of advanced-level Python concepts.</li><li>Learn how to work with files and handle advanced file operations.</li><li>Discover how to create and use Python classes to write efficient and maintainable code.</li><li>Understand how to use library functions to streamline your workflow and take your Python development skills to the next level.</li><li>Learn how to use Python to build real-world projects and applications.</li></ul><p>The Python Advanced Training course is designed to provide you with the skills and knowledge you need to become a proficient Python developer. Whether you're a beginner or an experienced programmer looking to enhance your Python skills, this course is perfect for you. Starting with the basics of file handling and moving on to more advanced topics, such as classes and library functions, this course covers everything you need to know to become a master Python developer. You'll learn how to handle advanced file operations, create and use Python classes to write efficient and maintainable code and use library functions to streamline your workflow and take your Python development skills to the next level.</p><p><strong>â±â± Python Advanced Training </strong><strong>Course Curriculum </strong></p><ul><li><strong>Section 01: </strong>Introduction</li><li><strong>Section 02:</strong> File Handling</li><li><strong>Section 03: </strong>Python Classes</li><li><strong>Section 04: </strong>Library Functions</li></ul><p><strong>How is the course assessed?</strong></p><p>Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.</p><p><strong>Exam &amp; Retakes:</strong><br />It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.<br /><strong>Certification</strong><br />Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Python developers who want to expand their knowledge of advanced Python concepts.</li><li>Programmers who want to enhance their Python skills and build real-world projects.</li><li>Entrepreneurs who want to develop their own Python-based applications.</li><li>Students who want to enhance their Python skills and prepare for a career in programming.</li><li>Anyone who wants to take their Python programming skills to the next level.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Python Developer: £28,000 - £55,000</li><li>Data Analyst: £24,000 - £45,000</li><li>Software Engineer: £28,000 - £60,000</li><li>Technical Lead: £40,000 - £90,000</li><li>Chief Technology Officer: £90,000 - £250,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p>You can apply for a CPD Accredited PDF Certificate at the cost of £9.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p>Hard copy can be sent to you via post at the expense of £15.</p> </div>

                        </div>

Python Advanced Training Course

NextGen Learning

Diploma in Python Programming Course

<strong>Learn Object-oriented Programming in Python-beginner-level! (Exercises + cheat sheets + better Coding)!</strong>
        <p>Welcome to Object-Oriented Programming With Python-A Practical Guide, a one-stop course that will kick-start your object-oriented journey step-by-step, This course covers every important concept of OOPS with its latest version Python 3.7.

OOP is one of the most important programming concepts because it:

Makes visualization easier (as closest as possible to real-world scenarios)

Reuses code, saves time, reduces code lines, and shrinks your project.

Makes code readable by adding a structure to data with related methods.

Uses modularity for easier troubleshooting

Reuses code through inheritance

Imparts flexibility through polymorphism

This course will help you explore classes, objects, abstraction, encapsulation, inheritance, and polymorphism. We also focus on the DRY (Don't Repeat Yourself) approach to improving our code-writing and problem-solving skills. Throughout the course, you will get tons of quiz, sample code, and theory material to help you revise the course effectively.

After completing this course, you will have attained the industry standard and will be ready to work as an intern, fresher, or freelancer; you will also be able to implement everything you need on your website.

All the supporting course files are placed at-https://github.com/PacktPublishing/Object-oriented-Programming-With-Python---A-Practical-Guide</p>
        <h2>What You Will Learn</h2><p>Reuse old code for new projects<br>Write clean and proper Python code<br>Learn about the four pillars of Object-Oriented Programming!<br>Learn how to handle errors and exceptions with Python</p>
        <h2>Audience</h2><p>This course targets all skill levels. People entirely new to the Object-Oriented Programming world; those already using Python and keen to enhance their Python skills by learning the basics of Object-Oriented Programming (OOPS) with real examples; software engineers; software developers; and software architects will all benefit from this course.</p>
        <h2>Approach</h2><p>This course introduces you to Object-Oriented Programming using Python. The author teaches complex concepts in a simple way; thus, even if you have no previous coding experience, you'll learn everything step-by-step in the correct sequence.</p>
        <h2>Key Features</h2><p>Master Object-Oriented Programming (and its principles) in Python * Learn every important topics-classes, objects, inheritance, abstraction, and more with proper examples * Access Python cheat sheets to master core Python concepts * Understand how Object-Oriented Programming Is more efficient than Procedure-Oriented Programming</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/object-oriented-programming-with-python---a-practical-guide</p>
        <h2>About the Author</h2><h3>Shubham Sarda</h3><p>Shubham is a software developer and digital marketer with a passion for teaching. He has worked with many funded start-ups, self-projects, and as a top-rated freelancer on multiple marketplaces. Currently, he stands among the top 700 freelancers with over 2,500+ projects on Fiverr, PeoplePerHour, Freelancer, and more.

As an instructor, he has taught programming and digital marketing to over 20,000 students, both with online courses and offline bootcamps. He has mastered explaining complex topics in the simplest form that is easy to understand and follow. His video courses are also used by companies to train their employees and by colleges to prepare and upgrade their students according to the latest industry requirements.</p>
        <h2>Course Outline</h2><h4>1. Introduction - Object Oriented Programming (OOP)</h4><p>This section will give you a brief introduction to the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Object Oriented Programming (OOP)</p><p style='margin: 0'>Introduction to Object Oriented Programming (OOP): Introduction to Object Oriented Programming (OOP)</p></td></tr></tbody></table><br><h4>2. Classes and Objects</h4><p>This section introduces you to Classes and Objects.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Classes and Objects in Python (OOP)</p><p style='margin: 0'>Classes and Objects: Classes and Objects in Python (OOP)</p></td></tr><tr><td style='padding: 15px;'><p>2. Understanding init() Method and 'self ' Parameter</p><p style='margin: 0'>Classes and Objects: Understanding init() Method and 'self ' Parameter</p></td></tr><tr><td style='padding: 15px;'><p>3. Solving Task: OOPS</p><p style='margin: 0'>Classes and Objects: Solving Task: OOPS</p></td></tr><tr><td style='padding: 15px;'><p>4. Defining Multiple Constructors in Python?</p><p style='margin: 0'>Classes and Objects: Defining Multiple Constructors in Python?</p></td></tr></tbody></table><br><h4>3. Encapsulation</h4><p>In this section, we'll learn about Encapsulation.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Encapsulation</p><p style='margin: 0'>Encapsulation: Encapsulation</p></td></tr><tr><td style='padding: 15px;'><p>2. Public And Private Methods</p><p style='margin: 0'>Encapsulation: Public And Private Methods</p></td></tr></tbody></table><br><h4>4. Inheritance</h4><p>In this section, we'll learn about Inheritance</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Inheritance</p><p style='margin: 0'>Inheritance: Inheritance</p></td></tr><tr><td style='padding: 15px;'><p>2. Getter and Setter</p><p style='margin: 0'>Inheritance: Getter and Setter</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating And Importing Module</p><p style='margin: 0'>Inheritance: Creating And Importing Module</p></td></tr><tr><td style='padding: 15px;'><p>4. Creating User Defined Module</p><p style='margin: 0'>Inheritance: Creating User Defined Module</p></td></tr><tr><td style='padding: 15px;'><p>5. Multiple Inheritance</p><p style='margin: 0'>Inheritance: Multiple Inheritance</p></td></tr><tr><td style='padding: 15px;'><p>6. Understanding super() Function [Part 1]</p><p style='margin: 0'>Inheritance: Understanding super() Function [Part 1]</p></td></tr><tr><td style='padding: 15px;'><p>7. Understanding super() Function [Part 2]</p><p style='margin: 0'>Inheritance: Understanding super() Function [Part 2]</p></td></tr></tbody></table><br><h4>5. Abstraction And Polymorphism</h4><p>This section will help you understand Abstraction And Polymorphism.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Composition</p><p style='margin: 0'>Abstraction And Polymorphism: Composition</p></td></tr><tr><td style='padding: 15px;'><p>2. Aggregation</p><p style='margin: 0'>Abstraction And Polymorphism: Aggregation</p></td></tr><tr><td style='padding: 15px;'><p>3. Abstract Classes</p><p style='margin: 0'>Abstraction And Polymorphism: Abstract Classes</p></td></tr><tr><td style='padding: 15px;'><p>4. Discussing Over import And from</p><p style='margin: 0'>Abstraction And Polymorphism: Discussing Over import And from</p></td></tr><tr><td style='padding: 15px;'><p>5. Operator Overloading [Part 1]</p><p style='margin: 0'>Abstraction And Polymorphism: Operator Overloading [Part 1]</p></td></tr><tr><td style='padding: 15px;'><p>6. Operator Overloading [Part 2]</p><p style='margin: 0'>Abstraction And Polymorphism: Operator Overloading [Part 2]</p></td></tr></tbody></table><br><h4>6. Errors and Exceptions Handling</h4><p>In this section, we'll learn to handle Errors and Exceptions.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Errors - Types of Errors!</p><p style='margin: 0'>Errors and Exceptions Handling: Errors - Types of Errors!</p></td></tr><tr><td style='padding: 15px;'><p>2. Exceptions</p><p style='margin: 0'>Errors and Exceptions Handling: Exceptions</p></td></tr><tr><td style='padding: 15px;'><p>3. Exceptions Handling Introduction</p><p style='margin: 0'>Errors and Exceptions Handling: Exceptions Handling Introduction</p></td></tr><tr><td style='padding: 15px;'><p>4. Exceptions Handling</p><p style='margin: 0'>Errors and Exceptions Handling: Exceptions Handling</p></td></tr><tr><td style='padding: 15px;'><p>5. Try, Except, Else and Finally</p><p style='margin: 0'>Errors and Exceptions Handling: Try, Except, Else and Finally</p></td></tr><tr><td style='padding: 15px;'><p>6. Raising Exception</p><p style='margin: 0'>Errors and Exceptions Handling: Raising Exception</p></td></tr><tr><td style='padding: 15px;'><p>7. Creating User Defined Exception</p><p style='margin: 0'>Errors and Exceptions Handling: Creating User Defined Exception</p></td></tr></tbody></table><br><h4>7. if __name__ == "__main__"</h4><p>In this section, we'll see if __name__ == "__main__".</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. if __name__ == "__main__"</p><p style='margin: 0'>if __name__ == "__main__": if __name__ == "__main__"</p></td></tr></tbody></table><br><h4>8. Important Convention To Follow</h4><p>In this section, we'll learn about some important Convention To Follow.s</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python Naming Convention (Classes, Variables, Functions, Methods ...)</p><p style='margin: 0'>Important Convention to Follow: Python Naming Convention (Classes, Variables, Functions, Methods ...)</p></td></tr></tbody></table><br><h4>9. Bonus</h4><p>This is a Bonus lecture.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Thank You For Being Here!</p><p style='margin: 0'>Bonus: Thank You For Being Here!</p></td></tr></tbody></table>

Packt

Programming

Learn Object-oriented Programming in Python-beginner-level! (Exercises + cheat sheets + better Coding)!

Object-oriented Programming with Python - A Practical Guide

<strong>This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.</strong>
        <p>If you work in any functional areas of data analysis, machine learning, and artificial intelligence, you will want to be familiar with or master Pandas. Pandas is a popular Python library used for data analysis and manipulation, commonly used with data analysis, artificial intelligence, and machine learning. Pandas enables quick and efficient data manipulation, aggregation, pivoting, and flexible time series.

This course will introduce you to the basics of data analysis using the Pandas library. You will learn to work with two primary data structures in Pandas, Series and Data Frame. Then, we will take a look at how to read data from a file and explore input data using indexing and filtering, at which point you will be ready for data preprocessing. Next, we will focus on handling missing values and duplicate rows and transforming data into a more efficient format. You will also discover how to manipulate data and data processing. Finally, we will dive into creating simple plots to visualize the data.

By the end of this course, you can use OOPs paradigm to create class hierarchies with the OOP design process. You can design and implement Python programs for complex issues and make good use of the features like classes and inheritance.

All resources are available at: https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide</p>
        <h2>What You Will Learn</h2><p>Learn basic data analysis with Pandas' open-source Python library<br>Use the two primary Pandas data structures, Series and DataFrame<br>Process varied data types and manipulate data with string function<br>Organize input with index and filter, preprocess data with Pandas<br>Format and process different kinds of data most efficiently<br>Manipulate, aggregate, and pivot data flexibly and efficiently</p>
        <h2>Audience</h2><p>This course targets beginner Python developers or those who want to learn and use the Pandas library for Python. Data analysts, project management analysts, and those working in artificial intelligence, machine learning, or data science can benefit from this course immensely. For those managers and executives that handle a lot of data and create analytic reporting material, this course could help them as well in their data science projects. This course assumes no previous experience in Pandas, but a fundamental understanding of basic Python syntax is needed since it is built for Python.</p>
        <h2>Approach</h2><p>The course offers interactive onscreen demonstrations of the Pandas library, its installation, and setup, getting familiar with the usage and manipulation of data with examples and explanations. It is loaded with quizzes and project examples that can be attempted as you learn. It offers individual videos and course files to follow along.</p>
        <h2>Key Features</h2><p>Learn to view data imported from an external source * Understand data analysis basics with Pandas and data structures, Series and DataFrame * Explore data manipulation and processing using Pandas and create simple plots to visualize data</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide</p>
        <h2>About the Author</h2><h3>Simon Sez IT</h3><p>Simon Sez IT has offered technical courses for individuals, small businesses, and Fortune 500 companies since 2008, with thousands of employees who can benefit from the easy-to-learn and hands-on software training. It offers over 8,000 video tutorials on a range of software programs.

Simon Sez IT ensures stress-free eLearning and enhanced employee productivity-whether you implement new software or a technological upgrade in your work environment. With over 600,000 students from 180 countries, Simon Sez IT is the preferred online learning choice for individuals and businesses worldwide.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Pandas</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Pandas</p><p style='margin: 0'>This video will look at an introductory overview of the Pandas course and what we will be learning about. It also takes us through an outline of the features and capabilities of Pandas and their use.</p></td></tr><tr><td style='padding: 15px;'><p>2. Pandas Installation</p><p style='margin: 0'>This video demonstrates how to install Pandas and discusses everything that is needed for starting to use Pandas. It takes us through installing Python and the Pandas library and shows how to install Jupyter notebook.</p></td></tr></tbody></table><br><h4>2. Pandas Objects</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Pandas Series</p><p style='margin: 0'>In this video, we will look at an introductory outline of the Pandas series and NumPy arrays, which makes the code fast and optimized.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Pandas Data Frame</p><p style='margin: 0'>In this lesson, you will learn about the second primary data structure called Pandas Data Frame, which is a tabular data structure. We will understand the data frame and its operability. We will also learn about the Pandas dictionary.</p></td></tr><tr><td style='padding: 15px;'><p>3. Reading Data from Files</p><p style='margin: 0'>After learning about the Data Frame, we will look into how to read .csv files, a common datasheet. You will also learn about the pd.read_csv() call function. The author provides learning datasets and how to solve issues by correcting the datasets. The video also explains headers and adding values from the datasets to a data frame.</p></td></tr><tr><td style='padding: 15px;'><p>4. Selection and Filtering Pandas</p><p style='margin: 0'>In this video, you will learn about extracting part of the data frame using the selection operation. We will also look at accessing one or more columns using "[] and iloc and loc." We will look at how to select a part of the data frame in detail.</p></td></tr></tbody></table><br><h4>3. Data Preprocessing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Handling Missing Values and Duplicates</p><p style='margin: 0'>During the data analysis, significant time is spent on data cleaning and transformation. Pandas provides the tool to handle such data. In this video, you will learn about handling missing data and duplicates. You will learn to eliminate rows with missing values and fill missing values and look at duplicates similarly.</p></td></tr><tr><td style='padding: 15px;'><p>2. DataFrame Manipulation</p><p style='margin: 0'>Here, you will learn how to rename columns in a data frame. We will look at adding columns to a data frame, concatenating a data frame, and removing columns with the drop method.</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Transformation</p><p style='margin: 0'>In this video, you will learn how to convert String data to a category and discretize a continuous variable and convert it into a categorical feature.</p></td></tr></tbody></table><br><h4>4. Data Processing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Processing Numerical Data for Pandas</p><p style='margin: 0'>In this video, you will learn about the various powerful tools available for numerical and statistical analysis on Pandas. We will look at the described () method, minimum and maximum values, and obtain the mean, median, variance, and standard deviation.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing String Format</p><p style='margin: 0'>In this lesson, we will continue processing data, but this time with string format data. String features have their operations. We will look at all the powerful tools on Pandas for handling string data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Processing-Date/Time Format</p><p style='margin: 0'>Here, we will understand how to process and manipulate date/time data values. We will learn the most common and practical methods to manipulate and analyze date/time data.</p></td></tr></tbody></table><br><h4>5. Data Processing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Visualize your Data</p><p style='margin: 0'>In this video, you will learn about data visualization. We will look at the basic and simple plots like the scatter plot, line plot, histogram, bar chart, and pie chart.</p></td></tr></tbody></table>

Data Analysis

Python

Pandas

This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.

Pandas for Beginners - A Quick Guide

Redhill

<h3><b>Network management technologies course description</b></h3>
        <p>A comprehensive tour of the available network
management technologies available for todays
networks. The course starts with basic tools such as
syslog along with Python network automation. SNMP is
then covered with the *flow technologies and streaming
telemetry. Configuration management with ansible,
Python, NETCONF and RESTCONF is then studied.
The final part of the course looks at SDN. Hands on
sessions are used throughout to reinforce the theory
rather than teach specific manufacturer equipment.
Note that sections are available as individual courses.
</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
     <li> Evaluate network management technologies.</li>
           					 <li> Evaluate network management technologies.</li>
<li> Recognise the weaknesses of SNMP versus
NETCONF and streaming telemetry.</li>
<li>Explain the role of NETCONF and RESTCONF.</li>
<li>Compare &amp; contrast *flow and streaming telemetry.</li>
<li> Explain the role of SDN in network management.</li>
<li>Automate network configuration with ansible and
Python.
</li>
                  </ul>
        <h5>
        <b>Network management technologies course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
							<p>Those wishing to manage networks.<br />(Previous Python experience is NOT needed)
</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>Intro to data comms</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days</p>
              
							
              
              
						</ul>
					</div>
				</div>
			
				 <h3><b>Network management technologies course content</b></h3>
				<h4>Basic network management</h4>

				 <ul>
		<li>Network management</li><p>
What is network management? Benefits, issues.
FCAPS model. Fault management, Configuration
management, accounting, performance, security.
What to manage, what not to manage. Managing
network devices, managing servers.</p>
				</ul>
<h4>Monitoring networks</h4> <ul>					 
<li>Traditional network tools</li><p>
Ping..., SSH, syslog, TFTP for configurations.
nmap. Wireshark. CLI. Web based management.
Splunk. Nessus, snort, Kali. 
<br /><span>Hands on</span> syslog, network inventories.

</p> </ul> <ul><li>Network automation using the CLI</li><p>
Programming and automating networks, netOps.
Python, Git. Python network modules, SSH,
paramiko, netmiko. EVE-NG.
<br /><span>Hands on</span>Python
network modules.

</p></ul> <ul><li>Structured versus unstructured data</li><p>
				
Problems with automation and unstructured data.
XML, JSON, YAML. The role of YANG. <br /><span>Hands on</span>
Parsing data.
				
</p></ul> <ul><li>SNMP</li><p>
SNMP architecture, SNMP MIBs, SMI, the SNMP
protocol, polling security. Configuring SNMP.
SNMPv1, v2, v3, SNMP security. Which version
should you use? MIBs and MIB structure. mib-2,
extra parts of mib-2, Private enterprise MIBs.
Summary: What SNMP is good/bad at.<br /><span>Hands on</span>
Configuring agents and a NMS. MIB browsing.
				
</p></ul> <ul><li>Server management</li><p>
Microsoft, Linux, application polling. WMI vs
SNMP. Hands on: Application polling.</p></ul>
				
<h4>Performance management</h4>
 <ul><li>*flow</li><p>
Polling, push vs pull, netflow, sflow, IPFIX, *flow.
Flows. Where to monitor traffic. Comparing *flow
with SNMP. Architecture: Generators and
collectors. When flows are exported. NetFlow
reporting products. SolarWinds. <br /><span>Hands on</span> Netflow
configuration. Collectors.

</p></ul> <ul><li>Streaming telemetry</li><p>
Model driven telemetry, periodic/on change.
Structured data. Telemetry protocol stack. gRPC
and gNMI. Protobuf. gNMI operations. Telemetry
architecture. Telegraf, databases, Grafana. <br /><span>Hands on</span> Telemetry example.
</p></ul>		
<h4>Configuration management</h4>
 <ul><li>Configuration management tools</li><p>
Chef, puppet, ansible, saltstack. Ansible
architecture, controlling machines, nodes,
agentless, SSH, modules. Inventories, playbooks,
modules, network modules, jinja2 templates.
<br /><span>Hands on</span> Network configuration with ansible.
	
</p></ul> <ul><li>NETCONF</li><p>
What is NETCONF? Protocol stack, Data stores,
traffic flows, validating configurations, rollback.
YANG data models and how YANG is used by
NETCONF. XML. Explorers and other tools.
<br /><span>Hands on</span> anx, Python and NETCONF.

</p></ul> <ul><li>RESTCONF</li><p>
The REST API, HTTP, What is RESTCONF?
Tools including Postman. Comparison with
NETCONF. <br /><span>Hands on</span> Configuration with
RESTCONF.
	
</p></ul> <ul><li>Python network automation: configuration</li><p>
SSH issues. Using structured data. Jinja2.
ncclient, requests, NAPALM, Nornir. Automated
testing. <br /><span>Hands on</span> Python network device
configuration with nornir.</p></ul>
	
<h4>Software Defined Networks and orchestration</h4>
 <ul><li>Classic SDN</li><p>
What is SDN? benefits. SDN architecture. SDN
applications, SDN switches, SDN controllers,
Network Operating Systems. Control plane, data
plane. Northbound interfaces. SDN components.
Southbound interfaces. OpenFlow. ONF,
OpenFlow ports, Flow tables.
	
</p></ul> <ul><li>Network virtualization</li><p>
Virtual networks, virtual switches, NfV. Service
chaining. NfV and SDN.
	
</p></ul> <ul><li>SDN implementations</li><p>
Classic SDN, Hybrid SDN, SDN via APIs, SDN
via overlays. Data centre SDN, VXLAN, Service
Provider SDN, SD WAN, Enterprise SDN, WiFi.
	
</p></ul> <ul><li>SDN and open source</li><p>
OpenDaylight, OpenVSwitch, Open Networking
Forum, Open Network Operating System.<br /><span>Hands on</span>OpenStack.
	
</p></ul> <ul><li>SD-WAN</li><p>
What is SD-WAN? Architecture: Edge, gateway,
orchestrator, controller. Overlay and underlay.
Use of MPLS, 4G/5G. Benefits and features.
Secure Access Service Edge (SASE).
</p>
     
      
				
				
				   </ul>

Systems & Network Training

Network & Security

Network Engineer

Network management technologies

<strong>This is an introductory course on machine learning. The course covers a wide range of topics, from handling a dataset to model delivery. Some prior training in Python programming and basic calculus knowledge will help you get the best out of this course.</strong>
        <p>Machine learning is a branch of AI and computer science that focuses on the use of data to imitate the way humans learn and improve its accuracy.

The course is divided into two parts. The first part starts with a brief history of how machine learning started and introduces you to the basics of statistical learning. You will also understand linear regression and classification, which is the logistic regression model. Understand what cross-validation, sampling, and Bootstrap are. Explore how to go beyond linearity; we will specifically look at a couple of interesting examples to improve the linear regression model to see if we can create models that are non-linear.

The second part of the course is completely hands-on labs, which start with an example of predicting fuel efficiency in linear regression. We will then look at a lab on logistic regression with a little bit of mathematics behind it. Understand another lab session on random forests and do a review of decision trees as well. Next, we will look at a lab session on Eigenfaces by using Principle Component Analysis (PCA) and wrap up a course with a lab on ROC-AUC (Receiver Operating Characteristic Curve-Area Under Curve).

By the end of the course, you would have given yourself the skills and confidence to start programming machine learning algorithms.

All resources and code files are placed here: https://github.com/PacktPublishing/Fundamentals-of-Machine-Learning</p>
        <h2>What You Will Learn</h2><p>Learn the basics of statistical learning <br>Understand linear regression, classification, and supervised learning <br>Understand sampling and Bootstrap in machine learning <br>Explore model selection and regularization <br>Understand random forests and decision trees <br>Explore labs on Multilayer Perceptron (MLP)?and RNN</p>
        <h2>Audience</h2><p>This course can be taken by beginners in Python programming, machine learning, and data science. Scientists, data scientists, and data analysts can also opt for this course. The course assumes no prior knowledge. However, some prior training in Python programming and some basic calculus knowledge is helpful for the course.</p>
        <h2>Approach</h2><p>Each topic has its designated video. The video walks through the technical component of a model to prepare students with a mathematical background. <br><br>Each lab session covers one single topic, which will ensure that the topics covered in the course are well understood.</p>
        <h2>Key Features</h2><p>Build customized deep learning models to start your own data science career  * Build customized models to use for different data science projects  * Learn about the fundamental principles of machine learning</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Fundamentals-of-Machine-Learning</p>
        <h2>About the Author</h2><h3>Yiqiao Yin</h3><p>Yiqiao Yin was a PhD student in statistics at Columbia University. He has a BA in mathematics and an MS in finance from the University of Rochester. He also has a wide range of research interests in representation learning: feature learning, deep learning, computer vision, and NLP.

Yiqiao Yin is a senior data scientist at an S&P 500 company LabCorp, developing AI-driven solutions for drug diagnostics and development. He has held professional positions as an enterprise-level data scientist at EURO STOXX 50 company Bayer, a quantitative researcher at AQR working on alternative quantitative strategies to portfolio management and factor-based trading, and equity trader at T3 Trading on Wall Street.</p>
        <h2>Course Outline</h2><h4>1. Lectures</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome</p><p style='margin: 0'>This video explains the contents of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction</p><p style='margin: 0'>This video explains a brief history of where machine learning started.</p></td></tr><tr><td style='padding: 15px;'><p>3. Basics in Statistical Learning</p><p style='margin: 0'>This video explains some basic notations in statistical learning, such as Xij.</p></td></tr><tr><td style='padding: 15px;'><p>4. Linear Regression</p><p style='margin: 0'>This video explains the foundation of the linear regression model, which is the very first approach to supervised learning.</p></td></tr><tr><td style='padding: 15px;'><p>5. Classification</p><p style='margin: 0'>This video explains one of the most basic forms of classification, which is the logistic regression model.</p></td></tr><tr><td style='padding: 15px;'><p>6. Sampling and Bootstrap</p><p style='margin: 0'>This video explains the two most famous and common procedures-cross-validation and Bootstrap.</p></td></tr><tr><td style='padding: 15px;'><p>7. Model Selection</p><p style='margin: 0'>This video explains model selection and regularization.</p></td></tr><tr><td style='padding: 15px;'><p>8. Going Beyond Linearity</p><p style='margin: 0'>This video explains going beyond linearity; specifically, we will look at a couple of interesting examples to improve the linear regression model to see if we can create models that are non-linear.</p></td></tr><tr><td style='padding: 15px;'><p>9. Tree-Based Methods - Part 1</p><p style='margin: 0'>This part of the video explains decision tree.</p></td></tr><tr><td style='padding: 15px;'><p>10. Tree-Based Methods - Part 2</p><p style='margin: 0'>The second part of the tree-based methods explains random forests.</p></td></tr><tr><td style='padding: 15px;'><p>11. Support Vector Machine (SVM)</p><p style='margin: 0'>This video explains the support vector machine called SVM and its introduction.</p></td></tr><tr><td style='padding: 15px;'><p>12. Deep Learning</p><p style='margin: 0'>This video introduces you to deep learning, artificial neural networks, recurrent neural networks, and more.</p></td></tr><tr><td style='padding: 15px;'><p>13. Unsupervised Learning</p><p style='margin: 0'>This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering.</p></td></tr><tr><td style='padding: 15px;'><p>14. Classification Metrics</p><p style='margin: 0'>This video explains classification metrics and will cover terminologies such as accuracy, specificity, sensitivity, and so on.</p></td></tr></tbody></table><br><h4>2. Labs</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Linear Regression</p><p style='margin: 0'>This video explains linear regression using an example of predicting fuel efficiency.</p></td></tr><tr><td style='padding: 15px;'><p>2. Logistic Regression</p><p style='margin: 0'>This video explains logistic regression with a little bit of mathematics behind it.</p></td></tr><tr><td style='padding: 15px;'><p>3. Ridge</p><p style='margin: 0'>This video explains a lab session on Ridge regression, which holds a unique position in statistical machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>4. Decision Tree</p><p style='margin: 0'>This video explains a lab session on a decision tree, getting dependencies, and how to create mock data.</p></td></tr><tr><td style='padding: 15px;'><p>5. Random Forests</p><p style='margin: 0'>This video explains a lab session on random forests and a review of decision trees.</p></td></tr><tr><td style='padding: 15px;'><p>6. Support Vector Machine (SVM)</p><p style='margin: 0'>This video explains a lab session on Support Vector Machines or SVM.</p></td></tr><tr><td style='padding: 15px;'><p>7. Multilayer Perceptron (MLP)</p><p style='margin: 0'>This video explains a lab session on neural networks and Multilayer Perceptron (MLP) models.</p></td></tr><tr><td style='padding: 15px;'><p>8. CNN</p><p style='margin: 0'>This video continues the lab from neural networks and will have a look at convolutional neural networks.</p></td></tr><tr><td style='padding: 15px;'><p>9. PCA</p><p style='margin: 0'>This video explains a lab session on Eigenfaces using PCA.</p></td></tr><tr><td style='padding: 15px;'><p>10. ROCAUC</p><p style='margin: 0'>In this final lab, you will learn about ROC-AUC (Receiver Operating Characteristic Curve-Area Under Curve).</p></td></tr></tbody></table>

Data Science

This is an introductory course on machine learning. The course covers a wide range of topics, from handling a dataset to model delivery. Some prior training in Python programming and basic calculus knowledge will help you get the best out of this course.

Fundamentals of Machine Learning

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

Nexus Human

Data Engineering

Microsoft AZ-900

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

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

"Start your career as a Certified Python Programmer and earn up to £70,000 per Year."
Are you looking to make your mark in the ever-evolving world of Data Analyst? The demand for Python programmers has never been higher. Just in the UK, job postings for Analysts / Python programmers surged by an astounding 70% in 2022. This exponential growth trend signifies the soaring need for skilled Python programmers. Amid this vibrant job market, our Python Programmer online Training is your golden ticket to a prosperous career in programming or Data Analysis. Regardless of your level - beginner or expert - we ensure a comprehensive learning experience that will enhance your current skills and prepare you for the dynamic tech industry.
We envision being your reliable ally throughout your journey - from imparting quality Python training to ensuring your employability in the programming world.
Our Python Certification Program offers more than just technical know-how. We extend comprehensive career mentoring and support designed to mould you into an industry-ready professional. We'll assist you in creating an impressive resume, preparing for interviews, and landing your dream job. With a vast network of partner companies continually looking for Python programmers, we provide an opportunity to get your foot in the door of your desired companies.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Programmers, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Python Certification - IT Program today and start your journey to becoming a successful Python Programmer!
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Certified Python Programmers:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in Python.
One-On-One Consultation: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Python programming field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Certified Python Programmers. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Courses we will provide once you enrol in the program:
Course 01: Computer Science With Python
Course 02: Ultimate Python Training for Beginners
Course 03: Python Intermediate Training
Course 04: Python Advanced Training
Course 05: Deep Learning & Neural Networks Python - Keras
Course 06: Complete Python Machine Learning & Data Science Fundamentals
Course 06: Introduction to Data Analysis
Course 07: Business and Data Analytics for Beginners
Course 08: Data Analytics with Tableau
Course 09: Quick Data Science Approach from Scratch
Course 10: Learn MySQL from Scratch for Data Science and Analytics
Course 11: SQL for Data Science, Data Analytics and Data Visualization
Course 12: Statistics & Probability for Data Science & Machine Learning
Course 13: Basic Google Data Studio
Course 14: Machine Learning with Python Course
Course 15: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 16: Web Scraping and Mapping Dam Levels in Python and Leaflet
Course 17: Coding Essentials - Javascript, ASP. Net, C#
Course 19: Master JavaScript with Data Visualization
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Python Certification - IT Training is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Python Certification Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 19 Premium Courses related to Python Programming. These courses will teach you the knowledge and skills required to become a successful Python Prgrammer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the programming/development industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Python Programming, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Python Programming begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
Beginners with no prior programming experience who are looking to enter the world of coding.
Intermediate programmers who wish to expand their skills and explore Python's extensive usage.
IT professionals seeking to diversify their skill sets and stay relevant in today's tech-driven market.
Data analysts and scientists who want to leverage Python's powerful libraries for their data processing needs.
Students and recent graduates looking to enhance their employability in the thriving tech industry.
Entrepreneurs who wish to understand and utilise Python to automate tasks and analyse data for their businesses.
Anyone with a keen interest in Python programming and a desire to delve into its applications in diverse fields like web development, data science, machine learning, and more.
 Requirements 
No experience required. Just enrol & start learning python.
 Career path 
Upon completion of our Program, the potential career paths include:
Python Developer: £30,000 - £90,000 annually
Data Scientist: £40,000 - £100,000 annually
Machine Learning Engineer: £50,000 - £110,000 annually
Data Analyst: £35,000 - £85,000 annually
Software Engineer: £35,000 - £95,000 annually
Back-end Developer: £40,000 - £95,000 annually
Web Developer: £30,000 -£85,000 annually
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Academy for Health and Fitness

Programming Fundamentals

Career Development

IT Certifications

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


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

Python Certification - IT Job Ready Program with Money Back Guarantee

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

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

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

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

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

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

                        </div>

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


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


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


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


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


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


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


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


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

Big Data Analytics

Data Skills

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

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

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

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

Python for Beginners: Learn Python Programming (Python 3)

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			<h2><b>Course Overview</b></h2>		</div>
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					<div><p><span>Are you looking to secure a career in Python programming or software engineering?</span></p><p><span>The</span><b> Python Programming</b><span> course will take you from beginner to expert in this programming language in no time, with step-by-step instructor-led guidance. Through audiovisual training, you will develop your data analysis, programming and coding skills, learning how to perform a wide range of tasks. It will teach you how to get set up on Mac OS X, Linux, and Ubuntu, best practices for string formatting, handling exceptions, and much more.</span></p><p><span>This course is open to anyone who wants to learn Python programming from the basics to an advanced level. Enrol as a part-time or full-time student today and gain the skills to become a Python programming pro.</span></p></div>
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					<div><p>This best selling <strong>Python Programming </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Python Programming </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Python Programming </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Python Programming </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Python Programming</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Python Programming </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Python Programming </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

Python Programming

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

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

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					<div><p>Basic Python 3.9  has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the course today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Basic Python 3.9  has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Basic Python 3.9  is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. This course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Basic Python 3.9 , you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Basic Python 3.9  will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Basic Python 3.9  to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.</p></div>
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Basic Python 3.9

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

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

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring data scientists looking to enter the exciting field of data science.</li><li>Professionals from other disciplines who want to transition into the data science domain.</li><li>Software engineers or programmers interested in expanding their skill set to include data science.</li><li>Analysts or researchers who want to enhance their data analysis and modeling capabilities.</li><li>Students or graduates seeking to kick-start their careers in data science with a strong foundation.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £55,000 per year</li><li>Data Scientist: £40,000 - £85,000 per year</li><li>Machine Learning Engineer: £50,000 - £100,000 per year</li><li>Data Engineer: £45,000 - £80,000 per year</li><li>Business Intelligence Analyst: £35,000 - £65,000 per year</li><li>Data Science Manager: £70,000 - £120,000 per year.</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Start your career as a Data Scientist and earn upto £90,000/ Year
Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Data Scientist experience, we will guide you towards honing your skills and developing a strong foundation in Data Science.
Tailored CV Building: Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.
Here are the courses we will provide once you enrol in the program:
Course 01: Ultimate Python Training for Beginners
Course 02: Python Intermediate Training
Course 03: Python Advanced Training
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Basic Data Analysis
Course 06: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 07: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 08: Customer Analytics Training
Course 09: Google Analytics for Everyone
Course 10: Google Data Studio: Data Analytics
Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB
Course 12: Big Data Analytics with PySpark Power BI and MongoDB
Course 13: Excel Data Analysis
Course 14: Introduction to Data Analytics with Tableau
Course 15: Machine Learning with Python Course
Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Scientist Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Scientist. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Scientist industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Aspiring data scientists looking to enter the exciting field of data science.
Professionals from other disciplines who want to transition into the data science domain.
Software engineers or programmers interested in expanding their skill set to include data science.
Analysts or researchers who want to enhance their data analysis and modeling capabilities.
Students or graduates seeking to kick-start their careers in data science with a strong foundation.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Analyst: £25,000 - £55,000 per year
Data Scientist: £40,000 - £85,000 per year
Machine Learning Engineer: £50,000 - £100,000 per year
Data Engineer: £45,000 - £80,000 per year
Business Intelligence Analyst: £35,000 - £65,000 per year
Data Science Manager: £70,000 - £120,000 per year.
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Data Analyst

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

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

Riva Learning

Programming Languages

Computing

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

Introducing coding using Python

General admission

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Networking

Cisco

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

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