Name: YAML Fundamentals for DevOps, Cloud and IaC Engineers
Price: 37.99 GBP
Availability: InStock

<p>Python is like a magician's wand in the world of software development. Its power to make the impossible, possible, has made it one of the most popular programming languages in the world. Are you eager to join the ranks of the Python masters, but don't know where to start? Look no further, because our Ultimate Python Training for Beginners course is here to help!</p><p>This course is the perfect starting point for anyone who wants to learn Python from scratch. Whether you're a complete novice or a seasoned programmer looking to add Python to your repertoire, our comprehensive curriculum will provide you with the knowledge and skills you need to succeed. Starting with the basics of the language and moving on to more advanced topics, you'll follow a journey from learner to expert, gaining confidence and expertise with each step.</p><p>So what are you waiting for? Enrol in our Ultimate Python Training for Beginners course today, and join the ranks of the Python masters.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Gain a comprehensive understanding of the Python programming language.</li><li>Learn how to write basic Python code, including variables, operators, loops, and functions.</li><li>Discover how to use Python to perform common programming tasks, such as data analysis, web scraping, and GUI development.</li><li>Understand more advanced topics such as object-oriented programming and data structures.</li><li>Learn how to use Python to build real-world projects and applications.</li></ul><p>The Ultimate Python Training for Beginners course is designed to provide you with the skills and knowledge you need to become a proficient Python programmer. Whether you're a complete novice or a seasoned programmer looking to add Python to your repertoire, this course is perfect for you. Starting with the basics of the language and moving on to more advanced topics, you'll follow a journey from learner to expert, gaining confidence and expertise with each step. You'll learn how to write basic Python code, perform common programming tasks, and build real-world projects and applications using Python.</p><p><strong>â±â± Ultimate Python Training for Beginners</strong><strong> Course Curriculum </strong></p><ul><li><strong>Section 01: </strong>Getting Started</li><li><strong>Section 02: </strong>Learners' Spot</li><li><strong>Section 03:</strong> Marathon Journey</li><li><strong>Section 04: </strong>Expert Path</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>Individuals who are new to programming and want to learn Python from scratch.</li><li>Programmers who want to add Python to their repertoire.</li><li>Data analysts who want to use Python for data analysis and visualization.</li><li>Web developers who want to use Python for web development and web scraping.</li><li>Anyone who wants to develop their skills in the software development industry.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Junior Python Developer: £20,000 - £35,000</li><li>Python Developer: £28,000 - £55,000</li><li>Senior Python Developer: £40,000 - £80,000</li><li>Python Data Analyst: £30,000 - £60,000</li><li>Python Web Developer: £25,000 - £65,000</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

Ultimate Python Training for Beginners Course

General Admission

<p>Embark on a transformative journey into the realm of programming with our <strong>Intermediate Python Coding</strong> course. Picture yourself delving deeper into the world of Python, a language known for its versatility and efficiency. This course begins with a refresher introduction, setting a solid foundation before advancing to more complex concepts. It's designed not just to teach but to immerse you in the intricacies of Python. From understanding the fundamentals of classes and methods to unraveling the complexities of Object-Oriented Programming (OOP), each section is a step towards mastering this powerful programming language. Whether you're looking to enhance your coding skills for professional growth or personal satisfaction, this course bridges the gap between basic understanding and advanced proficiency.</p>
<p>As you progress, you'll explore the sophisticated elements of Python, including inheritance, polymorphism, encapsulation, and abstraction. These concepts are not just taught theoretically; you'll see them come to life through practical applications, especially in the creation of Python games. This hands-on approach ensures that you're not just learning concepts but also applying them in real-world scenarios. The course also delves into Python's extensive libraries as you learn about modules, packages, and data handling with Pandas. Completing the course with error and exception handling, you emerge not just as someone who can code but as a problem-solver who can navigate through challenges and create efficient, elegant solutions.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Gain a deeper understanding of Python classes, methods, and OOP principles.</li>
<li>Develop skills in implementing inheritance, polymorphism, encapsulation, and abstraction in Python.</li>
<li>Create interactive Python games and applications to apply coding skills practically.</li>
<li>Learn to manage and utilise Python modules, packages, and the Pandas library.</li>
<li>Master error and exception handling in Python for robust coding.</li>
</ul>
<h3><b>Why choose this Intermediate Python Coding<span> course</span>?</b></h3>
<ol>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b> and <b>CIQ </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
<li>Unlock career resources for CV improvement, interview readiness, and job success.</li>
</ol>
<h3><b>Who is this Intermediate Python Coding<span> </span></b><b><span>course </span></b><b>for?</b></h3>
<ul>
<li>Programmers looking to advance from basic to intermediate Python skills.</li>
<li>Computer science students seeking a deeper understanding of Python.</li>
<li>Software developers aiming to enhance their proficiency in Python.</li>
<li>Data analysts and scientists interested in leveraging Python's capabilities.</li>
<li>Hobbyists and tech enthusiasts keen on developing Python applications.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Software Developer</strong>: £30,000 - £60,000</li>
<li><strong>Data Analyst</strong>: £25,000 - £50,000</li>
<li><strong>Python Developer</strong>: £28,000 - £55,000</li>
<li><strong>Machine Learning Engineer</strong>: £32,000 - £70,000</li>
<li><strong>Data Scientist</strong>: £35,000 - £75,000</li>
<li><strong>Back-end Developer</strong>: £27,000 - £53,000</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Beginner to Intermediate Python Coding</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Beginner to Intermediate Python Coding</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Section 01: Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Course Introduction</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Course Curriculum</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How to get Pre-requisites</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Getting Started on Windows, Linux or Mac</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How to ask Great Questions</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 02: Class</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Class</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Class</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Calling a Class Object</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Class Parameters - Objects</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Access Modifiers(theory)</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Summary</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 03: Methods</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to methods</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a method</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Method with parameters</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Method default parameter</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Multiple parameters.</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Method return keyword.</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Method Overloading.</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Summary</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 04: OOPs Object-Oriented Programming</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to OOPs</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Classes and Objects</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Class Constructors</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assessment Test1</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution for Assessment Test1</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Summary</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 05: Inheritance and Polymorphism</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Inheritance</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Getter and Setter Methods</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Polymorphism</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assessment Test2</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution for Assessment Test2</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Summary</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 06: Encapsulation and Abstraction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Access Modifiers (public, protected, private)</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Encapsulation</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Abstraction</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Summary</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 07: Python Games for Intermediate</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Dice Game</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Card and Deck Game Playing</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Summary</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 08: Modules and Packages</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>PIP command installations</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Modules</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Naming Module</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Built-in Modules</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Packages</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>List Packages</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Summary</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 09: Working Files with Pandas</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Reading CSV files</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Writing CSV files</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Summary</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 10: Error and ExceptionHandling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Errors - Types of Errors</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Try - ExceptExceptions Handling</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating User-Defined Message</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Try-Except-FinallyBlocks</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Summary</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Beginner to Intermediate Python Coding

<p>Unlock the door to endless possibilities with our comprehensive bundle of courses: "Python for Machine Learning and Data Analytics." In the UK, professionals in these fields can enjoy lucrative career opportunities with average annual salaries ranging from £40,000 to £80,000+. Imagine yourself at the forefront of technological advancements, harnessing the power of Python programming to revolutionise data analysis, develop intelligent systems, and make informed business decisions.</p><p>Introducing our captivating bundle of courses: "Python for Machine Learning and Data Analytics." Whether you're a novice seeking to enter the world of Python programming or an experienced professional looking to enhance your skills, this bundle is tailor-made for you.</p><p>Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p><strong>Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now!</strong></p><p><strong>The courses in this bundle include:</strong></p><ol><li><strong>Python For Beginners </strong></li><li><strong>Machine Learning Basics</strong></li><li><strong>Data Analytics</strong></li></ol><p><strong>Learning outcomes:</strong></p><ul><li>Gain proficiency in Python programming, from the basics to more advanced concepts, allowing you to develop efficient and robust code for data analysis and machine learning applications.</li><li>Understand the fundamental principles of machine learning, including different algorithms and techniques, enabling you to train models, make predictions, and evaluate their performance.</li><li>Acquire practical knowledge in data preprocessing, exploration, and visualisation techniques, empowering you to extract meaningful insights from complex datasets.</li><li>Develop the skills to implement machine learning algorithms and techniques in Python, creating intelligent systems that can adapt and learn from data.</li><li>Learn to effectively use Python libraries and frameworks such as NumPy, Pandas and Scikit-learn to streamline your data analysis and machine learning workflows.</li><li>Gain hands-on experience by working on real-world projects and exercises, solidifying your understanding of Python programming, machine learning, and data analytics.</li></ul><p>Introducing our captivating bundle of courses: "Python for Machine Learning and Data Analytics." Whether you're a novice seeking to enter the world of Python programming or an experienced professional looking to enhance your skills, this bundle is tailor-made for you.</p><p>The<strong> Python For Beginners </strong>course comprehensively introduces Python programming. You will learn the basics of Python syntax, data structures, control flow, and functions. By the end of this course, you will have a solid understanding of Python fundamentals and be ready to dive deeper into advanced concepts.</p><p>In the <strong>Machine Learning Basics</strong> course, you will explore the fundamentals of machine learning. You will learn different machine learning algorithms, such as regression, classification, and clustering, and understand how to train and evaluate models. Through hands-on projects, you will gain practical experience in developing machine-learning solutions.</p><p>The <strong>Data Analytics</strong> course focuses on the art of extracting insights from data. You will learn data preprocessing techniques, exploratory data analysis, and data visualisation using Python libraries such as NumPy, Pandas, and Matplotlib. This course will equip you with the skills to make data-driven decisions and effectively communicate findings.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This course is ideal for the following:</p><ul><li>Aspiring data analysts seeking to enhance their skills in Python and data analytics.</li><li>Professionals are interested in entering the field of machine learning and data science.</li><li>Software developers want to expand their knowledge into machine learning and data analytics.</li><li>Business analysts who want to leverage Python and data analytics to gain valuable insights.</li><li>Students or graduates looking to enhance their employability with in-demand skills.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>People tend to pursue these career paths in this sector:</p><ul><li>Data Analyst: £25,000 - £45,000 per year</li><li>Machine Learning Engineer: £40,000 - £70,000 per year</li><li>Data Scientist: £45,000 - £80,000 per year</li><li>Business Analyst: £30,000 - £55,000 per year</li><li>Python Developer: £35,000 - £60,000 per year</li><li>Data Engineer: £40,000 - £70,000 per year</li><li>Research Scientist: £40,000 - £75,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate Of Completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate Of Completion</h4>
        <p>
            Hard copy certificate -
            £9.99
        </p>
            <div><p>Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates!</p><p>Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for <strong>Python For Beginners Part 1</strong> absolutely free!</p><p>Upon finishing <strong>Machine Learning Basics</strong> and <strong>Data Analytics</strong>, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!</p></div>

                        </div>

NextGen Learning

Learning & Development

Business Analytics & Intelligence

Managed Learning Programme (MLP)

Big Data Analytics

Data Science

Trainers Course

Python for Machine Learning and Data Analytics

<p>Embark on a transformative journey into Python programming, ranging from fundamentals to advanced concepts like NumPy and Pandas. This course not only equips you with a comprehensive understanding of Python but also guides you through practical applications such as scripting and library usage. With the demand for Python expertise soaring in the UK, where Python Developers earn an average of £45,000 per year, this course opens doors to a realm of opportunities. Join us and immerse yourself in the dynamic world of Python, unlocking a pathway to a lucrative career in programming.</p><p><strong>________________________________________________________________________</strong></p><p><strong>Key Features:</strong></p><ul><li>CPD Certified <em>Diploma in </em>Python Programming: Beginner To Expert With Complete Career Guide</li><li>10 Instant e-certificate and hard copy dispatch by next working day</li><li>Fully online, interactive course with audio voiceover</li><li>Developed by qualified professionals in the field</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Course Curriculum:</strong></p><ul><li><strong>Module 01:</strong> Introduction to Python Programming from A-Z</li><li><strong>Module 02:</strong> Getting Familiar with Python</li><li><strong>Module 03:</strong> Basic Data Types</li><li><strong>Module 04:</strong> Python Operators</li><li><strong>Module 05:</strong> Advanced Data Types</li><li><strong>Module 06:</strong> Control Flow Part 1</li><li><strong>Module 07:</strong> Control Flow Part 2</li><li><strong>Module 08:</strong> Python Functions</li><li><strong>Module 09:</strong> User Input and Error Handling</li><li><strong>Module 10:</strong> Python Advanced Functions</li><li><strong>Module 11:</strong> Python Scripting and Libraries</li><li><strong>Module 12:</strong> NumPy</li><li><strong>Module 13:</strong> Pandas</li><li><strong>Module 14:</strong> Introduction to OOP</li><li><strong>Module 15:</strong> Advanced OOP</li><li><strong>Module 16:</strong> Starting a Career in Python</li></ul><p><strong>________________________________________________________________________</strong></p><p>Complete Career Guide for <strong>Python Programming: Beginner To Expert</strong><strong>(A to Z)</strong></p><p>This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the <strong>Programming</strong>. In addition to mastering the essentials of <strong>Programming</strong>, you'll also gain valuable skills in CV writing, job searching, communication, leadership, and project management. These 9 complementary courses are designed to empower you at every stage of your journey.</p><p>Stand out in your career, from crafting a winning CV to excelling in interviews. Develop the leadership skills to inspire your team and efficiently manage projects. This holistic approach ensures you're not just job-ready but career-ready. Enrol today, and let's build your success story together in <strong>Programming</strong>. Your dream career starts here!</p><p>List of career guide courses included in <strong>Python Programming: Beginner To Expert With Complete Career Guide:</strong></p><ul><li><strong>Course 01:</strong> Professional CV Writing and Job Searching</li><li><strong>Course 02:</strong> Communication Skills Training</li><li><strong>Course 03:</strong> Career Development Training</li><li><strong>Course 04:</strong> Time Management</li><li><strong>Course 05:</strong> Returning to Work Training</li><li><strong>Course 06:</strong> Level 3 Diploma in Project Management</li><li><strong>Course 07:</strong> Leadership Skills</li><li><strong>Course 08:</strong> Body Language</li><li><strong>Course 09:</strong> Interview and Recruitment</li></ul><p><strong>________________________________________________________________________</strong></p><p><strong>Learning Outcomes:</strong></p><ul><li>Understand Python programming fundamentals comprehensively.</li><li>Apply Python operators effectively in program development.</li><li>Demonstrate proficiency in handling basic and advanced data types.</li><li>Implement control flow structures for efficient program execution.</li><li>Develop and utilize Python functions, including advanced concepts.</li><li>Gain practical skills in scripting, using libraries, and mastering OOP.</li></ul><p><strong>________________________________________________________________________</strong></p><p><strong>Accreditation</strong></p><p>All of our courses, including the <strong>Python Programming: Beginner To Expert With Complete Career Guide</strong>, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your <strong>Python Programming: Beginner To Expert With Complete Career Guide</strong>, you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months.</p><p><strong>Assessment</strong></p><p>At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
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                                <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>Individuals new to programming seeking a thorough Python foundation.</li><li>Students or professionals aiming to enhance data handling skills.</li><li>Aspiring developers interested in scripting and library usage.</li><li>Those pursuing a career in Python and object-oriented programming.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Python Developer - £35K to 55K/year.</li><li>Data Analyst - £30K to 45K/year.</li><li>Software Engineer - £40K to 65K/year.</li><li>Machine Learning Engineer - £45K to 75K/year.</li><li>Data Scientist - £50K to 80K/year.</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>10 CPD Accredited e-Certificates</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>10 CPD Accredited Hard Copy Certificates</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Training Express

Python Programming: Beginner To Expert With Complete Career Guide Course

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Introduction to data with python is a 30 hour course, delivered online using SpatialChat (a collaborative online, social space). We use Agile scrum methodology with Trello to manage our learning.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The course will usually take place over a number of weeks (e.g. 1 day a week for 5 weeks).&nbsp;&nbsp;</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">You will learn how to&nbsp;</p>
<ul fr-original-style="" style="box-sizing: border-box;">
<li style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;"><span style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;">read data sets from spreadsheets, databases and a range of other data sources</span></li>
<li style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;"><span style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;">&lsquo;clean&rsquo; the data so that reports and statistics are more accurate</span></li>
<li style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;"><span style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;">manipulate the data so that you can present it in different ways</span></li>
<li style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;"><span style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;">run statistical models and to use the result to predict trends</span></li>
<li style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;"><span style="font-weight: 400; box-sizing: border-box;" fr-original-style="font-weight: 400;">visualise data using a range of charts and graphs.&nbsp; </span></li>
</ul>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">On completion of this course you could work on real world project analysing and visualising data for a charity.</p>

futureCoders SE

Introduction to web development with React. 
30 Hour course over 5 weeks.

Data with python for improvers

Intro to ... taster

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					<p><span lang="EN-GB">This comprehensive course on <b>Data Science with Python</b> will deepen your understanding on this topic.</span></p><p><span lang="EN-GB">After successful completion of this course you can acquire the required skills in this sector. This <b>Data Science with Python</b> comes with accredited certification, which will enhance your CV and make you worthy in the job market.</span></p><p><span lang="EN-GB">So enrol in this course today to fast track your career ladder.</span></p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p><span lang="EN-GB">You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.</span></p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p><span lang="EN-GB">There is no experience or previous qualifications required for enrolment on this <b>Data Science with Python</b>. It is available to all students, of all academic backgrounds.</span></p>					</div>
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			<h2>Requirements</h2>		</div>
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					<p><span lang="EN-GB">Our <b>Data Science with Python</b> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</span></p><p><span lang="EN-GB">There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p><span lang="EN-GB">Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management, Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc.</span></p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>3 sections • 6 lectures • 01:15:00 total length</p></div><div><div><div><div><div><div><div><p>•Module 01: Introduction to Python Data Science: 00:03:00</p></div><div><div><p>•Module 02: Environment Setup: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Module 01: Numpy package for calculations: 00:16:00</p></div><div><div><p>•Module 02: Panda package for Data cleaning: 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Module 01: Matplotlib Data Visualization Part 1: 00:16:00</p></div><div><div><p>•Module 02: Matplotlib Data Visualization Part 2: 00:11:00</p></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Data Skills

Data Science with Python

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				<div>
								<div>
					<p><span>This comprehensive course on </span><b><span>Computer Science With Python</span></b> will deepen your understanding on this topic.</p><p><span><span>After successful completion of this course you can acquire the required skills in this sector. This </span><b>Computer Science With Python</b> comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. </span><span><span>So enrol in this course today to fast track your career ladder.</span></span></p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p>You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.<br /></p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p><span>There is no experience or previous qualifications required for enrolment on this </span><b><span>Computer Science With Python</span></b>. It is available to all students, of all academic backgrounds.</p>					</div>
						</div>
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			<h2>Requirements</h2>		</div>
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					<p><span>Our </span><b><span>Computer Science With Python</span></b> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</p><p><span><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></span></p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p>Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-</p><ul><li>Open doors of opportunities</li><li>Increase your adaptability</li><li>Keep you relevant</li><li>Boost confidence</li></ul><p>And much more!</p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>5 sections • 152 lectures • 04:54:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Quiz 1: 00:02:00</p></div><div><div><p>•Quiz 1 Solution: 00:01:00</p></div><div><div><p>•What is Programming: 00:03:00</p></div><div><div><p>•Quiz 2: 00:01:00</p></div><div><div><p>•Quiz 2 Solution: 00:01:00</p></div><div><div><p>•Meeting the interpreter and Problem Quiz 3: 00:01:00</p></div><div><div><p>•Quiz 3 solution: 00:01:00</p></div><div><div><p>•Congratulations: 00:01:00</p></div><div><div><p>•Why programming and Quiz 4: 00:02:00</p></div><div><div><p>•Quiz 4 Solution: 00:03:00</p></div><div><div><p>•Grammar and Python Rules: 00:04:00</p></div><div><div><p>•Backus Naur Form: 00:03:00</p></div><div><div><p>•Quiz 4 part 2: 00:01:00</p></div><div><div><p>•Quiz 4 part 2 Solution: 00:01:00</p></div><div><div><p>•Python Grammar and Quiz 5: 00:05:00</p></div><div><div><p>•Quiz 5 Solution: 00:03:00</p></div><div><div><p>•Quiz 6: 00:01:00</p></div><div><div><p>•Quiz 6 Solution: 00:02:00</p></div><div><div><p>•Processors: 00:02:00</p></div><div><div><p>•Introducing Variables: 00:05:00</p></div><div><div><p>•Variables Quiz 7: 00:02:00</p></div><div><div><p>•Variables Can Vary: 00:03:00</p></div><div><div><p>•Variables Quiz 8: 00:01:00</p></div><div><div><p>•Quiz 8 Solution: 00:01:00</p></div><div><div><p>•Variables Quiz 9: 00:01:00</p></div><div><div><p>•Quiz 9 Solution: 00:01:00</p></div><div><div><p>•Variables Quiz 10: 00:01:00</p></div><div><div><p>•Quiz 10 Solution: 00:03:00</p></div><div><div><p>•Introducing Strings: 00:04:00</p></div><div><div><p>•Using Strings Quiz 11: 00:01:00</p></div><div><div><p>•Quiz 11 Solution: 00:03:00</p></div><div><div><p>•Strings and Numbers - String Concatenation Quiz Solution: 00:03:00</p></div><div><div><p>•String indexing: 00:02:00</p></div><div><div><p>•Quiz 13: 00:01:00</p></div><div><div><p>•Quiz 13 Solution: 00:03:00</p></div><div><div><p>•String subsequences: 00:04:00</p></div><div><div><p>•String subsequences quiz 14: 00:01:00</p></div><div><div><p>•Quiz 14 solution: 00:02:00</p></div><div><div><p>•Understanding selection quiz 15: 00:01:00</p></div><div><div><p>•Quiz 15 solution: 00:04:00</p></div><div><div><p>•Finding string in string quiz 16: 00:04:00</p></div><div><div><p>•Quiz 16 solution: 00:02:00</p></div><div><div><p>•Testing and quiz 17: 00:02:00</p></div><div><div><p>•Quiz 17 solution: 00:03:00</p></div><div><div><p>•Find With Parameter Quiz 18: 00:02:00</p></div><div><div><p>•Quiz 18 solution: 00:01:00</p></div><div><div><p>•Extracting links from a web page Quiz 19: 00:03:00</p></div><div><div><p>•Extracting links from a web page Quiz 19 Solution: 00:02:00</p></div><div><div><p>•Final Quiz: 00:01:00</p></div><div><div><p>•Final Quiz Solution: 00:02:00</p></div><div><div><p>•Congratulations: 00:01:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Unit Overview: 00:03:00</p></div><div><div><p>•Procedural Abstraction: 00:03:00</p></div><div><div><p>•Introducing Procedures: 00:04:00</p></div><div><div><p>•Procedure code quiz 1: 00:04:00</p></div><div><div><p>•Quiz 1 Solution: 00:01:00</p></div><div><div><p>•Output and quiz 2: 00:01:00</p></div><div><div><p>•Quiz 2 Solution: 00:02:00</p></div><div><div><p>•Return Statement and Quiz 3: 00:03:00</p></div><div><div><p>•Quiz 3 solution: 00:02:00</p></div><div><div><p>•Inc Procedure Quiz 4: 00:01:00</p></div><div><div><p>•Quiz 4 Solution: 00:01:00</p></div><div><div><p>•Sum Procedure and Quiz 5: 00:01:00</p></div><div><div><p>•Quiz 5 Solution: 00:02:00</p></div><div><div><p>•Sum procedure with a return statement: 00:02:00</p></div><div><div><p>•Square procedure quiz 6: 00:01:00</p></div><div><div><p>•Quiz 6 Solution: 00:02:00</p></div><div><div><p>•Sum 3 Quiz 7: 00:01:00</p></div><div><div><p>•Quiz 7 Solution: 00:02:00</p></div><div><div><p>•Double string procedure quiz 8: 00:01:00</p></div><div><div><p>•Quiz 8 Solution: 00:01:00</p></div><div><div><p>•Find second quiz 9: 00:02:00</p></div><div><div><p>•Quiz 9 Solution: 00:02:00</p></div><div><div><p>•Equality Comparison Quiz 10: 00:04:00</p></div><div><div><p>•Quiz 10 Solution: 00:01:00</p></div><div><div><p>•If statement quiz 11: 00:03:00</p></div><div><div><p>•Quiz 11 Solution: 00:03:00</p></div><div><div><p>•Is friend quiz 12: 00:02:00</p></div><div><div><p>•Quiz 12 solution: 00:02:00</p></div><div><div><p>•Is friend quiz 13: 00:02:00</p></div><div><div><p>•Quiz 13 Solution: 00:02:00</p></div><div><div><p>•The Or construct: 00:03:00</p></div><div><div><p>•Quiz 14 solution: 00:06:00</p></div><div><div><p>•While loop quiz 15: 00:05:00</p></div><div><div><p>•Quiz 15 solution: 00:03:00</p></div><div><div><p>•While loop quiz 16: 00:01:00</p></div><div><div><p>•Quiz 16 solution: 00:02:00</p></div><div><div><p>•Print numbers quiz 17: 00:01:00</p></div><div><div><p>•Quiz 17 solution: 00:02:00</p></div><div><div><p>•Factorial quiz 18: 00:02:00</p></div><div><div><p>•Quiz 18 solution: 00:02:00</p></div><div><div><p>•Break quiz 19: 00:04:00</p></div><div><div><p>•Quiz 19 solution: 00:03:00</p></div><div><div><p>•Quiz 20: 00:05:00</p></div><div><div><p>•Quiz 20 Solution: 00:01:00</p></div><div><div><p>•No links quiz 21: 00:01:00</p></div><div><div><p>•Print all links quiz 21 solution: 00:03:00</p></div><div><div><p>•Final Quiz: 00:01:00</p></div><div><div><p>•Final Quiz Solution: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Unit Overview: 00:03:00</p></div><div><div><p>•Stooges and quiz 1: 00:01:00</p></div><div><div><p>•Quiz 1 Solution: 00:01:00</p></div><div><div><p>•Countries quiz: 00:01:00</p></div><div><div><p>•Quiz 3 solution: 00:01:00</p></div><div><div><p>•Relative Size Quiz: 00:01:00</p></div><div><div><p>•Quiz 4 Solution: 00:01:00</p></div><div><div><p>•Lists Mutation: 00:01:00</p></div><div><div><p>•Different Stooges quiz: 00:01:00</p></div><div><div><p>•Quiz 5 Solution: 00:01:00</p></div><div><div><p>•Secret Agent Man Quiz: 00:01:00</p></div><div><div><p>•Replace Spy Quiz: 00:01:00</p></div><div><div><p>•Quiz 7 Solution: 00:03:00</p></div><div><div><p>•Python List Addition and Length: 00:02:00</p></div><div><div><p>•List Operations In Python: 00:02:00</p></div><div><div><p>•Python lists length quiz: 00:01:00</p></div><div><div><p>•Quiz 8 Solution: 00:01:00</p></div><div><div><p>•Append Quiz: 00:01:00</p></div><div><div><p>•Hard drive quiz: 00:01:00</p></div><div><div><p>•Quiz 11 Solution: 00:01:00</p></div><div><div><p>•Python Loops on Lists Quiz: 00:02:00</p></div><div><div><p>•Quiz 12 solution: 00:02:00</p></div><div><div><p>•Python For loops: 00:03:00</p></div><div><div><p>•Sum List Quiz: 00:01:00</p></div><div><div><p>•Measure a String Quiz: 00:01:00</p></div><div><div><p>•Find Element Quiz: 00:02:00</p></div><div><div><p>•Quiz 15 solution: 00:04:00</p></div><div><div><p>•Quiz 16 solution: 00:01:00</p></div><div><div><p>•Python Union Procedure Quiz: 00:01:00</p></div><div><div><p>•Quiz 17 solution: 00:01:00</p></div><div><div><p>•Pop in Python Quiz 18: 00:02:00</p></div><div><div><p>•Quiz 18 solution: 00:03:00</p></div><div><div><p>•Collecting Links: 00:01:00</p></div><div><div><p>•Get All Links: 00:02:00</p></div><div><div><p>•Starting Get All Links Quiz: 00:01:00</p></div><div><div><p>•Quiz 19 solution: 00:01:00</p></div><div><div><p>•Updating Links Quiz: 00:01:00</p></div><div><div><p>•Quiz 20 Solution: 00:01:00</p></div><div><div><p>•Finishing Get All Links Quiz: 00:01:00</p></div><div><div><p>•Quiz 21 Solution: 00:01:00</p></div><div><div><p>•Finishing the Python Web Crawler: 00:03:00</p></div><div><div><p>•Crawling Process Quiz: 00:01:00</p></div><div><div><p>•Quiz 22 Solution: 00:01:00</p></div><div><div><p>•Crawl Web Quiz: 00:01:00</p></div><div><div><p>•Quiz 23 Solution: 00:01:00</p></div><div><div><p>•Crawl Web Loop Quiz: 00:01:00</p></div><div><div><p>•Quiz 24 Solution: 00:02:00</p></div><div><div><p>•Crawl If Quiz: 00:01:00</p></div><div><div><p>•Quiz 25 Solution: 00:01:00</p></div><div><div><p>•Finishing Crawl Web and Final Quiz: 00:02:00</p></div><div><div><p>•Final Quiz Solution &amp; Conclusion: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment - Computer Science With Python: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Online Course Creation

Computing Skills

Programming Fundamentals

Computer Science (CS)

Computer Programming

Computer Skills

Computer Science With Python

<h3><strong>Overview</strong></h3>
This comprehensive course on <strong>Python for Data Analysis</strong> will deepen your understanding on this topic.

After successful completion of this course you can acquire the required skills in this sector. This <strong>Python for Data Analysis</strong> comes with accredited certification, which will enhance your CV and make you worthy in the job market.

So enrol in this course today to fast track your career ladder.
<h3><strong>How will I get my certificate?</strong></h3>
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
<h3><strong>Who is this course for?</strong></h3>
There is no experience or previous qualifications required for enrolment on this <strong>Python for Data Analysis</strong>. It is available to all students, of all academic backgrounds.
<h3><strong>Requirements</strong></h3>
Our <strong>Python for Data Analysis</strong> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.

There is no time limit for completing this course, it can be studied in your own time at your own pace.
<h3><strong>Career path</strong></h3>
Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management, Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc. <h3>Course Curriculum</h3><div><p>19 sections • 99 lectures • 00:08:00 total length</p></div><div><div><div><div><div><div><div><p>•Welcome &amp; Course Overview: 00:07:00</p></div><div><div><p>•Set-up the Environment for the Course (lecture 1): 00:09:00</p></div><div><div><p>•Set-up the Environment for the Course (lecture 2): 00:25:00</p></div><div><div><p>•Two other options to setup environment: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Python data types Part 1: 00:21:00</p></div><div><div><p>•Python Data Types Part 2: 00:15:00</p></div><div><div><p>•Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00</p></div><div><div><p>•Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00</p></div><div><div><p>•Python Essentials Exercises Overview: 00:02:00</p></div><div><div><p>•Python Essentials Exercises Solutions: 00:22:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•What is Numpy? A brief introduction and installation instructions.: 00:03:00</p></div><div><div><p>•NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00</p></div><div><div><p>•NumPy Essentials - Indexing, slicing, broadcasting &amp; boolean masking: 00:26:00</p></div><div><div><p>•NumPy Essentials - Arithmetic Operations &amp; Universal Functions: 00:07:00</p></div><div><div><p>•NumPy Essentials Exercises Overview: 00:02:00</p></div><div><div><p>•NumPy Essentials Exercises Solutions: 00:25:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•What is pandas? A brief introduction and installation instructions.: 00:02:00</p></div><div><div><p>•Pandas Introduction: 00:02:00</p></div><div><div><p>•Pandas Essentials - Pandas Data Structures - Series: 00:20:00</p></div><div><div><p>•Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00</p></div><div><div><p>•Pandas Essentials - Handling Missing Data: 00:12:00</p></div><div><div><p>•Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00</p></div><div><div><p>•Pandas Essentials - Groupby: 00:10:00</p></div><div><div><p>•Pandas Essentials - Useful Methods and Operations: 00:26:00</p></div><div><div><p>•Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00</p></div><div><div><p>•Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00</p></div><div><div><p>•Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00</p></div><div><div><p>•Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Matplotlib Essentials (Part 1) - Basic Plotting &amp; Object Oriented Approach: 00:13:00</p></div><div><div><p>•Matplotlib Essentials (Part 2) - Basic Plotting &amp; Object Oriented Approach: 00:22:00</p></div><div><div><p>•Matplotlib Essentials (Part 3) - Basic Plotting &amp; Object Oriented Approach: 00:22:00</p></div><div><div><p>•Matplotlib Essentials - Exercises Overview: 00:06:00</p></div><div><div><p>•Matplotlib Essentials - Exercises Solutions: 00:21:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Seaborn - Introduction &amp; Installation: 00:04:00</p></div><div><div><p>•Seaborn - Distribution Plots: 00:25:00</p></div><div><div><p>•Seaborn - Categorical Plots (Part 1): 00:21:00</p></div><div><div><p>•Seaborn - Categorical Plots (Part 2): 00:16:00</p></div><div><div><p>•Seborn-Axis Grids: 00:25:00</p></div><div><div><p>•Seaborn - Matrix Plots: 00:13:00</p></div><div><div><p>•Seaborn - Regression Plots: 00:11:00</p></div><div><div><p>•Seaborn - Controlling Figure Aesthetics: 00:10:00</p></div><div><div><p>•Seaborn - Exercises Overview: 00:04:00</p></div><div><div><p>•Seaborn - Exercise Solutions: 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Pandas Built-in Data Visualization: 00:34:00</p></div><div><div><p>•Pandas Data Visualization Exercises Overview: 00:03:00</p></div><div><div><p>•Panda Data Visualization Exercises Solutions: 00:13:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting (Part 1): 00:19:00</p></div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting (Part 2): 00:14:00</p></div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting Exercises (Overview): 00:11:00</p></div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting Exercises (Solutions): 00:37:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00</p></div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00</p></div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00</p></div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00</p></div><div><div><p>•Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to ML - What, Why and Types..: 00:15:00</p></div><div><div><p>•Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00</p></div><div><div><p>•scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00</p></div><div><div><p>•scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00</p></div><div><div><p>•Good to know! How to save and load your trained Machine Learning Model!: 00:01:00</p></div><div><div><p>•scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00</p></div><div><div><p>•scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00</p></div><div><div><p>•scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00</p></div><div><div><p>•scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00</p></div><div><div><p>•scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: D-Tree &amp; Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00</p></div><div><div><p>•scikit-learn - Decision Tree and Random Forests - Hands-on  (Part 1): 00:19:00</p></div><div><div><p>•scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00</p></div><div><div><p>•scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00</p></div><div><div><p>•scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00</p></div><div><div><p>•scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00</p></div><div><div><p>•scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00</p></div><div><div><p>•scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: K Means Clustering, Elbow method ..: 00:11:00</p></div><div><div><p>•scikit-learn - K Means Clustering - Hands-on: 00:23:00</p></div><div><div><p>•scikit-learn - K Means Clustering (Project Overview): 00:07:00</p></div><div><div><p>•scikit-learn - K Means Clustering (Project Solutions): 00:22:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: Principal Component Analysis (PCA): 00:09:00</p></div><div><div><p>•scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00</p></div><div><div><p>•scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00</p></div><div><div><p>•scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: Recommender Systems their Types and Importance: 00:06:00</p></div><div><div><p>•Python for Recommender Systems - Hands-on (Part 1): 00:18:00</p></div><div><div><p>•Python for Recommender Systems - - Hands-on (Part 2): 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Natural Language Processing (NLP) - (Theory Lecture): 00:13:00</p></div><div><div><p>•NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00</p></div><div><div><p>•NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00</p></div><div><div><p>•NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00</p></div><div><div><p>•NLTK - BoW, TF-IDF, Machine Learning, Training &amp; Evaluation, Naive Bayes : 00:13:00</p></div><div><div><p>•NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resources- Python for Data Analysis: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Data Analysis

Data Analyst

Python for Data Analysis

<p>Become a worldwide competitor with skills that are validated for quality by QLS, the most respected high-quality course auditor in the UK.</p><p>Discover data science like an expert! With this premium course, acquire deep insight into the foundations of building and running Python scripts to more complicated capabilities including file operations, regular expressions, and working with binary data. This programming language may be used to store many kinds of data in a variable format. Enrol to obtain the industry-recognized certification required to start your own business or snag the job of your dreams!</p><p>This premium QLS endorsed Diploma in Python Programming course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunity and a globally recognised certification all-together. Thus, successful completion of our Diploma in Python Programming course will give you limitless opportunities anywhere and everywhere, since the value of QLS endorsed courses are quite high, to say the least!!</p><p>Furthermore, neither we nor you will compromise on the exceptional quality of our first-rate education. With the wealth of knowledge from this outstanding Diploma in Python Programming course, you will be able to seize and seize success from a wide range of options. This course is really an incredible deal, especially considering the price! You should definitely not pass up this investment!</p><p>So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as, unquestionably, the most skilled one in your workplace!</p><p><strong>Why Learn with us: </strong></p><p>We, as one of the leading eLearning service providers across the globe, strive to provide all our learners with the best eLearning experience possible that can make a real difference in their career progression.</p><p><strong>Our Service for the </strong><strong>Diploma in Python Programming</strong><strong> Includes:</strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>Course Curriculum of </strong><strong>Diploma in Python Programming</strong></p><ul><li><strong>Unit 01:</strong> Introduction to Python Programming</li><li><strong>Unit 02:</strong> Getting Started with Python</li><li><strong>Unit 03:</strong> Conditional Branching with Python</li><li><strong>Unit 04:</strong> Importing external/internal library in python</li><li><strong>Unit 05:</strong> Project Rock Paper and Scissors</li><li><strong>Unit 06:</strong> Strings Operation in Python</li><li><strong>Unit 07:</strong> Date and time in Python</li><li><strong>Unit 08:</strong> File Handling, read and write using Python</li><li><strong>Unit 09:</strong> Data Storage Structures, Tuple, List and Dictionary</li><li><strong>Unit 10:</strong> Writing user functions in Python</li><li><strong>Unit 11:</strong> Sending mail</li><li><strong>Unit 12:</strong> Import Tricks in Python</li><li><strong>Unit 13:</strong> Import Operating System and Platform</li><li><strong>Unit 14:</strong> Exceptions handling in python</li><li><strong>Unit 15:</strong> Installing Packages and Scheduling In Python</li><li><strong>Unit 16:</strong> Data Base In Python using sqlite</li><li><strong>Unit 17:</strong> Running Program from Command Prompt and jupyter Notebook</li><li><strong>Unit 18:</strong> Conclusion</li></ul><p><strong>Assessment &amp; Certification</strong></p><p>Students need to finish and turn in a thorough assignment covering all topics in our curriculum. Our expert tutor will review the assignment to make sure it meets Quality Learning Systems (QLS) standards. Once the assessment is successful and passes a quality check, students will be awarded a certificate for completing the Diploma in Python Programming Course.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After the course, participants will receive an endorsed certificate as proof of successful completion. The learner may request a certificate if they complete all course assessments.</p><p><strong>Endorsement:</strong></p><p>This certified course is approved by QLS as a well-qualified, non-regulated training program. A trainer will be available to address your inquiries, including guidance on your pathways to higher education.</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">
                            <p>Our course is available to everyone. The Diploma in Python Programming Course is perfect for those who want to acquire detailed knowledge and effective skills to enter the relevant sector with promising potential.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no specific requirements for enrolling in the Diploma in Python Programming course. Therefore, learners do not need previous qualifications to sign up for this course.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Diploma in Python Programming at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            £75
        </p>

                        </div>

Kingston Open College

Certificate in Further Education & Training (Cert Ed)

Diploma for School Business Leaders (DSBM)

Professional Skills Course (PSC)

Diploma in Professional Studies (DPS)

ICDL (International Certification of Digital Literacy)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Diploma in Python Programming - Level 5 (QLS Endorsed)

<strong>The "YAML Fundamentals" course helps beginners with the required skills to develop YAML documents. It will also help you gain skills to develop a properly structured YAML document in both block style and flow style. The "flow style" is also known as JSON style or compact style. If you are looking forward to adding YAML to your skillset, then this course is what you need. In today's market, every IT professional is expected to know YAML.</strong>
        <p>YAML is a data serialization language. The "YAML Fundamentals" course helps beginners with the required skills to develop YAML documents. Most common languages such as Go, Python, Java, C#, and so on provide support for YAML. You will see YAML being used in various ways in the industry for web service communication, configuration management, configuration files, data storage, and more.

In this course, you will learn about YAML, and compare YAML with HTML, JSON, and XML. You will look at YAML structure, data types in YAML, and complex mapping. After that, you will learn to document multiple YAML documents in a single file, handle multi-line strings, and look at the advanced features of YAML (tags, anchors, chomping, and so on.).

Following that, you will look at representing data using YAML, see different styles of documenting YAML, and tools and technologies leveraging YAML data serialization format. Next, you will be creating and validating YAML using VS Code Editor, using Python to read and extract data from YAML documents, and using Python to determine the data types in YAML documents. Finally, you will be reviewing examples of the Kubernetes YAML document and Ansible YAML playbook.

By the end of this course, you will learn the fundamentals of YAML and build skills to develop a properly structured YAML document from scratch.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/YAML-Fundamentals-for-DevOps-Cloud-and-IaC-Engineers</p>
        <h2>What You Will Learn</h2><p>Study about YAML and its structure<br>Explore YAML syntax along with simple and complex YAML documents<br>Understand block and flow style, and use tags to enforce data type<br>Understand and instill the ability to handle long and multi-line strings<br>Look at how to develop professional YAML documents using Anchors<br>Learn to develop YAML documents from scratch</p>
        <h2>Audience</h2><p>This course is designed for cloud engineers, DevOps engineers, software engineers, full-stack web developers, software architects, and software managers. This course will also benefit anyone with an interest in learning YAML.<br><br>Basic IT background is required to grasp the content quickly.</p>
        <h2>Approach</h2><p>This is a crisp, beginner-friendly, and complete course on getting started with YAML. This course is designed for absolute beginners and the content is animated to make it highly engaging. There is a standalone section on real-work examples that would help you write code from scratch. The course is a good mix of theoretical and practical content throughout.</p>
        <h2>Key Features</h2><p>Build skills to develop a properly structured YAML document from scratch * The course is designed for absolute beginners with a step-by-step methodology and animated content * Python codes are provided that can be used to review YAML documents</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/YAML-Fundamentals-for-DevOps-Cloud-and-IaC-Engineers</p>
        <h2>About the Author</h2><h3>Coding Gears | Train Your Brain</h3><p>GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn.

They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas.

CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>This video provides an overview of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Recommendations</p><p style='margin: 0'>This video provides a few recommendations before diving deep into this course.</p></td></tr></tbody></table><br><h4>2. YAML Fundamentals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview about the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Why Learn YAML</p><p style='margin: 0'>This video explains why to learn YAML.</p></td></tr><tr><td style='padding: 15px;'><p>3. HTML Versus XML Versus JSON Version YAML</p><p style='margin: 0'>This video demonstrates the difference between HTML, XML, JSON, and YAML.</p></td></tr><tr><td style='padding: 15px;'><p>4. YAML Structure</p><p style='margin: 0'>This video explains the structure of YAML.</p></td></tr><tr><td style='padding: 15px;'><p>5. Datatypes - Scalars - Part 1</p><p style='margin: 0'>This is first of the two-part video that talks about scalars in datatypes.</p></td></tr><tr><td style='padding: 15px;'><p>6. Datatypes - Collections - Part 2</p><p style='margin: 0'>This is second of the two-part video that talks about collections in datatypes.</p></td></tr><tr><td style='padding: 15px;'><p>7. YAML Visualization</p><p style='margin: 0'>This video demonstrates the YAML visualization.</p></td></tr><tr><td style='padding: 15px;'><p>8. Tags</p><p style='margin: 0'>This video explains about the tags.</p></td></tr><tr><td style='padding: 15px;'><p>9. Anchors</p><p style='margin: 0'>This video explains about the Anchors.</p></td></tr><tr><td style='padding: 15px;'><p>10. Complex Mappings</p><p style='margin: 0'>This video explains about the complex mappings.</p></td></tr></tbody></table><br><h4>3. YAML - Hands-On Demos</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview about the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Demo: Visual Studio Code and YAML Extension</p><p style='margin: 0'>This demo video demonstrates Visual Studio code and YAML extension.</p></td></tr><tr><td style='padding: 15px;'><p>3. Demo: Python Code Review</p><p style='margin: 0'>This demo video demonstrates the review of the Python code. You will install the Python library before working on the code review.</p></td></tr><tr><td style='padding: 15px;'><p>4. Demo: Datatypes</p><p style='margin: 0'>This demo video demonstrates about the datatypes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Demo: Single and Double Quotes</p><p style='margin: 0'>This demo video explains the single and double quotes.</p></td></tr><tr><td style='padding: 15px;'><p>6. Demo: Spaces</p><p style='margin: 0'>This demo video demonstrates about the spaces.</p></td></tr><tr><td style='padding: 15px;'><p>7. Demo: Indentation</p><p style='margin: 0'>This demo video demonstrates about the indentation.</p></td></tr><tr><td style='padding: 15px;'><p>8. Demo: Nulls and Boolean</p><p style='margin: 0'>This demo video demonstrates about the nulls and boolean.</p></td></tr><tr><td style='padding: 15px;'><p>9. Demo: Multiple YAML Documents in One File</p><p style='margin: 0'>This demo video demonstrates about the multiple YAML documents in one file.</p></td></tr><tr><td style='padding: 15px;'><p>10. Demo: Block and Flow Styles</p><p style='margin: 0'>This demo video demonstrates the block and flow styles.</p></td></tr><tr><td style='padding: 15px;'><p>11. Demo: Sets and Nested Maps</p><p style='margin: 0'>This demo video demonstrates about the sets and nested maps.</p></td></tr><tr><td style='padding: 15px;'><p>12. Demo: Multi-Line Strings</p><p style='margin: 0'>This demo video demonstrates about the multi-line strings.</p></td></tr><tr><td style='padding: 15px;'><p>13. Demo: Anchors</p><p style='margin: 0'>This demo video demonstrates about the Anchors.</p></td></tr><tr><td style='padding: 15px;'><p>14. Demo: Tags</p><p style='margin: 0'>This demo video demonstrates about the tags.</p></td></tr><tr><td style='padding: 15px;'><p>15. Demo: Complex Mapping</p><p style='margin: 0'>This demo video demonstrates about the complex mappings.</p></td></tr></tbody></table><br><h4>4. Real-Work Examples</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview about the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Demo: Writing YAML Documents from Scratch</p><p style='margin: 0'>This demo video helps in writing YAML documents from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>3. Demo: Kubernetes and Ansible YAML Examples</p><p style='margin: 0'>This demo video demonstrates the Kubernetes and Ansible YAML examples.</p></td></tr><tr><td style='padding: 15px;'><p>4. Demo: Using Online Formatters</p><p style='margin: 0'>This demo video demonstrates how to format YAML documents using freely available online formatters.</p></td></tr></tbody></table>

Packt

DevOps

Cloud

Python

The "YAML Fundamentals" course helps beginners with the required skills to develop YAML documents. It will also help you gain skills to develop a properly structured YAML document in both block style and flow style. The "flow style" is also known as JSON style or compact style. If you are looking forward to adding YAML to your skillset, then this course is what you need. In today's market, every IT professional is expected to know YAML.

YAML Fundamentals for DevOps, Cloud and IaC Engineers

<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

Azure Machine Learning

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

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

Academy for Health and Fitness

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 

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

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

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

Programming

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

Python for Beginners: Learn Python Programming (Python 3)

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

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

Python Programming

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

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

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

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

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

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

                        </div>

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

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

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

The Ultimate Guide to Python Programming with Python 3.10

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

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

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

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

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

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

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