<p>Everywhere, from tiny businesses to major corporations, needs people skilled in SQL. In light of this, our online training course has been developed to help you succeed by equipping you with all the necessary skills.</p> <p>The importance of mastering SQL increases if you're looking for your first job in the data industry. You will learn about topics such as SQL fundamentals, data wrangling, SQL analysis, AB testing, distributed computing with Apache Spark, Delta Lake, and more through four increasingly more challenging SQL projects with data science applications. These subjects will equip you with the skills necessary to use SQL creatively for data analysis and exploration, write queries quickly, produce datasets for data analysis, conduct feature engineering, integrate SQL with other data analysis and machine learning toolsets, and work with unstructured data.</p> <p>This Specialisation is designed for a learner with<strong> little or no prior coding expertise</strong> who wants to become <strong>proficient</strong> with SQL queries. Experts have meticulously planned out the curriculum for the SQL Skills Training course with years of expertise. As a result, you will find it simple to learn the course material.</p> <p><strong>Learning outcome</strong></p> <p>After finishing the course, you'll</p> <ul> <li>Learn to utilise the tools for view creation</li><li>Become familiar with updating columns and indexed views</li><li>Be able to test and debug</li><li>Be able to search a database using SQL</li><li>Become more familiar with inline table-valued functions</li><li>Learn the fundamentals of transactions and multiple statements</li></ul> <p><strong>Why Prefer US? </strong></p> <ul> <li>Opportunity to earn a certificate accredited by <strong>CPD </strong>after completing this course</li><li><strong>Student ID card </strong>with amazing discounts - completely for <strong> FREE! </strong>(£10 postal charges will be applicable for international delivery)</li><li>Standards-aligned lesson planning</li><li>Innovative and engaging content and activities</li><li>Assessments that measure higher-level thinking and skills</li><li>Complete the program in your own time, at your own pace</li><li>Each of our students gets full 24/7 tutor support</li></ul> <p><strong>*** Course Curriculum ***</strong></p> <p><strong> SQL Programming Course </strong></p> <p><strong>Module 01: Course Introduction</strong></p> <ul> <li>Introduction</li><li>Course Curriculum Overview</li><li>Overview of Databases</li></ul> <p><strong>Module 02: SQL Environment Setup</strong></p> <ul> <li>MySQL Installation</li><li>MySQL Workbench Installation</li><li>Connecting to MySQL using Console</li></ul> <p><strong>Module 03: SQL Statement Basics</strong></p> <ul> <li>Overview of Challenges</li><li>SQL Statement Basic</li><li>SELECT Statement</li><li>SELECT DISTINCT</li><li>Column AS Statement</li><li>COUNT built-in Method usage</li><li>SELECT WHERE Clause - Part One</li><li>SELECT WHERE Clause - Part Two</li><li>Statement Basic</li><li>Limit Clause Statement</li><li>Using BETWEEN with Same Column Data</li><li>How to Apply IN Operator</li><li>Wildcard Characters with LIKE and ILIKE</li></ul> <p><strong>Module 04: GROUP BY Statements</strong></p> <ul> <li>Overview of GROUP BY</li><li>Aggregation function SUM()</li><li>Aggregation MIN() and MAX()</li><li>GROUP BY - One</li><li>GROUP BY - Two</li><li>HAVING Clause</li></ul> <p><strong>Module 05: JOINS</strong></p> <ul> <li>Overview of JOINS</li><li>Introduction to JOINS</li><li>AS Statement table</li><li>INNER Joins</li><li>FULL Outer Join</li><li>LEFT Outer JOIN</li><li>RIGHT JOIN</li><li>Union</li></ul> <p><strong>Module 06: Advanced SQL Commands / Statements</strong></p> <ul> <li>Timestamps</li><li>EXTRACT from timestamp</li><li>Mathematical Functions</li><li>String Functions</li><li>SUBQUERY</li></ul> <p><strong>Module 07: Creating Database and Tables</strong></p> <ul> <li>Basic of Database and Tables</li><li>Data Types</li><li>Primary key and Foreign key</li><li>Create Table in SQL Script</li><li>Insert</li><li>Update</li><li>Delete</li><li>Alter Table</li><li>Drop-Table</li><li>NOT NULL Constraint</li><li>UNIQUE Constraint</li></ul> <p><strong>Module 08: Databases and Tables</strong></p> <ul> <li>Creating a Database backup</li><li>10a Overview of Databases and Tables</li><li>10c Restoring a Database</li></ul> <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>The course can be helpful for anyone working in the SQL fields, whether self-employed or employed, regardless of their career level.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>You will not need any prior background or expertise to enrol in this course.</p> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>The vocation of SQL Skills Training moves very quickly but pays well. This position provides unparalleled satisfaction. This is your opportunity to learn more and start changing things.</p> <ul> <li>Query Language Developer</li><li>Server Database Manager</li><li>Python Developer</li><li>Technical Consultant</li><li>Project Implementation Manager</li><li>Software Developer (SQL)</li></ul> 
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £10
        </p>

                        </div>

Academy for Health and Fitness

SQL Programming Course

General Admission

<strong>We will follow a hands-on approach in this course to learn how to use and apply HTML5 and CSS3 concepts to the front-end page of your projects. A carefully structured beginner-level course that will help you level up your web development skills. You need not have any prior experience in HTML and CSS to take up this course.</strong>
        <p>If you have been considering learning web development or becoming a full-stack developer, this course will not only teach you about CSS3 but will also force you to put it all into practice like a pro.

Many students simply avoid front-end technologies because they believe they are not their cup of tea, but this course will change your mind and turn you into a developer by showing you how to put the principles into practice without having to recall anything.

In this course, we will first look at the basics of web development, then move on to see what CSS is. After that, we will go ahead and do the installation and setup for our local development environment. Then we will see the different techniques that we can use for debugging using developer tools. Next, we will move on to see different kinds of selectors, fronts, and backgrounds in CSS. We will move on to the next concepts of box model, margin, and padding. After that, we will see how the display, position, float, and Z-index work in CSS. Next, we will check out an important property for Flexbox along with media queries and pseudo-selectors for responsive web design, and then move on and see how to use shadow, animation, transition, and transform with CSS, and much more.

You will be able to quickly apply everything you have learned from this course to any project involving front-end programming by the time it is over.

The complete code bundle for this course is available at: https://github.com/PacktPublishing/Practical-CSS3-Mastery-Course</p>
        <h2>What You Will Learn</h2><p>Learn about different plugins and techniques to speed up development<br>Explore various components of the HTML document<br>Learn how to use fonts, colors, borders, background styles<br>Understand the usage of z-index property<br>Learn how to create layouts using Flexbox<br>Create responsive web design using media queries</p>
        <h2>Audience</h2><p>Anyone interested in beginning a career in web development or any backend developer who wants to transition to full-stack development should take this course as this course will start with the basics of CSS.</p>
        <h2>Approach</h2><p>In this course, we will utilize a hands-on approach to teach you how to use and apply HTML5 and CSS3 ideas to any front-end page of your projects.</p>
        <h2>Key Features</h2><p>Learn how to apply various CSS properties in different scenarios * Learn the basics of web development and debugging * Build responsive websites using the core HTML5 and CSS3 concepts</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Practical-CSS3-Mastery-Course</p>
        <h2>About the Author</h2><h3>Ranjan Pandey</h3><p>Ranjan Pandey is a full-stack DevOps software professional with over 11 years of experience in a variety of technologies ranging from web and mobile application development using HTML5, CSS3, JavaScript, jQuery, Bootstrap, Angular, React, Java, Spring, Spring Boot, Python, Flask, Django, NodeJS, Express, Android, Ionic, React Native, Flutter to artificial intelligence and cloud technologies such as Amazon Web Services and Microsoft Azure. He is a certified professional in Java, Azure Cloud, and Backbase products and has experience working with multiple MNCs and European clients. He is also a corporate trainer providing a wide range of training.</p>
        <h2>Course Outline</h2><h4>1. Introduction and Environment Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome Message</p><p style='margin: 0'>Welcome to the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Web Development</p><p style='margin: 0'>In this video, we will have a quick introduction to web development.</p></td></tr><tr><td style='padding: 15px;'><p>3. Installation and Setup</p><p style='margin: 0'>In this video, we will be installing and setting up our coding environment.</p></td></tr></tbody></table><br><h4>2. Basics of HTML and CSS</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Your First HTML</p><p style='margin: 0'>In this video, we will work on our first HTML.</p></td></tr><tr><td style='padding: 15px;'><p>2. HTML Structure</p><p style='margin: 0'>In this video, we will understand the HTML structure.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introduction to CSS</p><p style='margin: 0'>In this video, we will have a quick introduction to CSS.</p></td></tr><tr><td style='padding: 15px;'><p>4. Different Ways of Using CSS</p><p style='margin: 0'>In this video, we will cover different ways of using CSS.</p></td></tr></tbody></table><br><h4>3. Font, Color, Background, Float</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Selectors in CSS</p><p style='margin: 0'>In this video, we will cover selectors in CSS.</p></td></tr><tr><td style='padding: 15px;'><p>2. Debugging Using Developer Tool</p><p style='margin: 0'>In this video, we will cover debugging using the developer tool.</p></td></tr><tr><td style='padding: 15px;'><p>3. Fonts in CSS</p><p style='margin: 0'>In this video, we will cover fonts in CSS.</p></td></tr><tr><td style='padding: 15px;'><p>4. Colors in CSS</p><p style='margin: 0'>In this video, we will cover colors in CSS.</p></td></tr><tr><td style='padding: 15px;'><p>5. Border Background Height Width</p><p style='margin: 0'>In this video, we will cover border background height width.</p></td></tr><tr><td style='padding: 15px;'><p>6. Box Model Margin and Padding</p><p style='margin: 0'>In this video, we will cover box model margin and padding.</p></td></tr><tr><td style='padding: 15px;'><p>7. Float Clear</p><p style='margin: 0'>In this video, we will cover float clear.</p></td></tr></tbody></table><br><h4>4. Selectors, Display, Position, Z Index</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Pseudo Selector</p><p style='margin: 0'>In this video, we will cover the pseudo selector.</p></td></tr><tr><td style='padding: 15px;'><p>2. CSS Display Property</p><p style='margin: 0'>In this video, we will cover CSS display property.</p></td></tr><tr><td style='padding: 15px;'><p>3. CSS Position Property</p><p style='margin: 0'>In this video, we will cover CSS position property.</p></td></tr><tr><td style='padding: 15px;'><p>4. CSS Visibility and Z Index</p><p style='margin: 0'>In this video, we will cover CSS visibility and z index property.</p></td></tr></tbody></table><br><h4>5. Flexbox, Media Queries, and Responsive Design</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. CSS Flexbox</p><p style='margin: 0'>In this video, we will cover CSS Flexbox.</p></td></tr><tr><td style='padding: 15px;'><p>2. CSS Responsive Units - EM, REM, VW, and VH</p><p style='margin: 0'>In this video, we will cover responsive web design using units such as EM, REM, VW, and VH.</p></td></tr><tr><td style='padding: 15px;'><p>3. Media Queries</p><p style='margin: 0'>In this video, we will cover media queries.</p></td></tr></tbody></table><br><h4>6. Advance Selectors, Effects, and Animation</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Advance Pseudo Selector</p><p style='margin: 0'>In this video, we will cover advance pseudo selector.</p></td></tr><tr><td style='padding: 15px;'><p>2. nth Selector</p><p style='margin: 0'>In this video, we will cover the nth selector.</p></td></tr><tr><td style='padding: 15px;'><p>3. Before After Pseudo Selector</p><p style='margin: 0'>In this video, we will cover before after pseudo selector.</p></td></tr><tr><td style='padding: 15px;'><p>4. CSS Box Text Shadow</p><p style='margin: 0'>In this video, we will cover CSS box text shadow.</p></td></tr><tr><td style='padding: 15px;'><p>5. CSS Custom Variables</p><p style='margin: 0'>In this video, we will cover CSS custom variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. CSS Animation Keyframes - Part 1</p><p style='margin: 0'>In this video, we will cover CSS animation keyframes.</p></td></tr><tr><td style='padding: 15px;'><p>7. CSS Animation Keyframes - Part 2</p><p style='margin: 0'>In this video, we will continue with CSS animation keyframes.</p></td></tr><tr><td style='padding: 15px;'><p>8. Transition</p><p style='margin: 0'>In this video, we will cover transition.</p></td></tr><tr><td style='padding: 15px;'><p>9. Transform</p><p style='margin: 0'>In this video, we will cover transform.</p></td></tr></tbody></table>

Packt

JavaScript

Web Development

HTML

We will follow a hands-on approach in this course to learn how to use and apply HTML5 and CSS3 concepts to the front-end page of your projects. A carefully structured beginner-level course that will help you level up your web development skills. You need not have any prior experience in HTML and CSS to take up this course.

Practical CSS3 Mastery Course

<strong>Build and deploy a social network with Node.js, Express, React, Redux and MongoDB. Learn how to put it all together</strong>
        <p>In this course you will build an in depth full stack social network application using Node.js, Express, React, Redux and MongoDB along with ES6+. You will start with a bank text editor and end with a deployed full stack application.</p>
        <h2>What You Will Learn</h2><p>- Build a full stack social network app with React, Redux, Node, Express & MongoDB<br>- Create an extensive backend API with Express<br>- Use Stateless JWT authentication practices<br>- Integrate React with an Express backend in an elegant way<br>- Use Redux for state management<br>- Deploy to Heroku with a post-build script</p>
        <h2>Audience</h2><p>Anyone that wants to learn how to build and deploy a full stack MERN application</p>
        <h2>Approach</h2><p>This is not an "Intro to React" or "Intro to Node" course. It is a practical hands-on course for building an app using the incredible MERN stack. The author tries and explains everything as he goes so it is possible to follow without React/Node experience but it is recommended that you know at least the basics first.</p>
        <h2>Key Features</h2><p>- Building an extensive backend API with Node.js & Express * - Protecting routes/endpoints with JWT (JSON Web Tokens) * - Extensive API testing with Postman * - Integrating React with our backend in an elegant way, creating a great workflow * - Building our frontend to work with the API * - Using Redux for app state management * - Creating reducers and actions for our resources * - Creating many container components that integrate with Redux * - Testing with the Redux Chrome extension</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/mern-stack-front-to-back-full-stack-react-redux-and-node.js</p>
        <h2>About the Author</h2><h3>Brad Traversy</h3><p>Brad Traversy has been programming for around 12 years and teaching for almost 5 years. He is the owner of Traversy Media, which is a successful web development YouTube channel and specializes in everything from HTML5 to front-end frameworks such as Angular as well as server-side technologies such as Node.js, PHP, and Python. Brad has mastered explaining overly complex topics in a simple manner that is understandable. Invest in your knowledge by watching Brad's courses.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome To the Course</p><p style='margin: 0'>Introduction: Welcome To the Course</p></td></tr><tr><td style='padding: 15px;'><p>2. A Look at the Main App</p><p style='margin: 0'>Introduction: A Look at the Main App</p></td></tr><tr><td style='padding: 15px;'><p>3. Before We Begin</p><p style='margin: 0'>Introduction: Before We Begin</p></td></tr><tr><td style='padding: 15px;'><p>4. VSCode Setup</p><p style='margin: 0'>Introduction: VSCode Setup</p></td></tr></tbody></table><br><h4>2. Basic Express Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. MongoDB Setup With mLab</p><p style='margin: 0'>Basic Express Setup: MongoDB Setup With mLab</p></td></tr><tr><td style='padding: 15px;'><p>2. Install Dependencies & Basic Server Setup</p><p style='margin: 0'>Basic Express Setup: Install Dependencies &amp; Basic Server Setup</p></td></tr><tr><td style='padding: 15px;'><p>3. Connecting To MongoDB with Mongoose</p><p style='margin: 0'>Basic Express Setup: Connecting To MongoDB with Mongoose</p></td></tr><tr><td style='padding: 15px;'><p>4. Route Files with Express Router</p><p style='margin: 0'>Basic Express Setup: Route Files with Express Router</p></td></tr></tbody></table><br><h4>3. User API Routes & JWT Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating the User Model</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Creating the User Model</p></td></tr><tr><td style='padding: 15px;'><p>2. User Registration & Postman</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: User Registration &amp; Postman</p></td></tr><tr><td style='padding: 15px;'><p>3. Email & Password Login</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Email &amp; Password Login</p></td></tr><tr><td style='padding: 15px;'><p>4. Creating the JWT</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Creating the JWT</p></td></tr><tr><td style='padding: 15px;'><p>5. Passport JWT Authentication Strategy</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Passport JWT Authentication Strategy</p></td></tr><tr><td style='padding: 15px;'><p>6. Validation Handlers - 1</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Validation Handlers - 1</p></td></tr><tr><td style='padding: 15px;'><p>7. Validation Handlers - 2</p><p style='margin: 0'>User API Routes &amp; JWT Authentication: Validation Handlers - 2</p></td></tr></tbody></table><br><h4>4. Profile API Routes</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Aside - Front End Visual</p><p style='margin: 0'>Profile API Routes: Aside - Front End Visual</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating the Profile Model</p><p style='margin: 0'>Profile API Routes: Creating the Profile Model</p></td></tr><tr><td style='padding: 15px;'><p>3. Current User Profile Route</p><p style='margin: 0'>Profile API Routes: Current User Profile Route</p></td></tr><tr><td style='padding: 15px;'><p>4. Create & Update Profile Routes</p><p style='margin: 0'>Profile API Routes: Create &amp; Update Profile Routes</p></td></tr><tr><td style='padding: 15px;'><p>5. Profile Field Validations</p><p style='margin: 0'>Profile API Routes: Profile Field Validations</p></td></tr><tr><td style='padding: 15px;'><p>6. More Profile API Routes</p><p style='margin: 0'>Profile API Routes: More Profile API Routes</p></td></tr><tr><td style='padding: 15px;'><p>7. Add Experience & Education Routes</p><p style='margin: 0'>Profile API Routes: Add Experience &amp; Education Routes</p></td></tr><tr><td style='padding: 15px;'><p>8. Delete Education & Experience Routes</p><p style='margin: 0'>Profile API Routes: Delete Education &amp; Experience Routes</p></td></tr></tbody></table><br><h4>5. Post API Routes</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating the Post Model</p><p style='margin: 0'>Post API Routes: Creating the Post Model</p></td></tr><tr><td style='padding: 15px;'><p>2. Post Create Route</p><p style='margin: 0'>Post API Routes: Post Create Route</p></td></tr><tr><td style='padding: 15px;'><p>3. Get & Delete Post Routes</p><p style='margin: 0'>Post API Routes: Get &amp; Delete Post Routes</p></td></tr><tr><td style='padding: 15px;'><p>4. Post Like & Unlike Routes</p><p style='margin: 0'>Post API Routes: Post Like &amp; Unlike Routes</p></td></tr><tr><td style='padding: 15px;'><p>5. Add & Remove Comment Routes</p><p style='margin: 0'>Post API Routes: Add &amp; Remove Comment Routes</p></td></tr></tbody></table><br><h4>6. Getting Started With React & the Frontend</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. A Look at the Bootstrap Theme & UI</p><p style='margin: 0'>Getting Started With React &amp; the Frontend: A Look at the Bootstrap Theme &amp; UI</p></td></tr><tr><td style='padding: 15px;'><p>2. Implementing React</p><p style='margin: 0'>Getting Started With React &amp; the Frontend: Implementing React</p></td></tr><tr><td style='padding: 15px;'><p>3. Bootstrap & Assets Setup</p><p style='margin: 0'>Getting Started With React &amp; the Frontend: Bootstrap &amp; Assets Setup</p></td></tr><tr><td style='padding: 15px;'><p>4. Basic Layout</p><p style='margin: 0'>Getting Started With React &amp; the Frontend: Basic Layout</p></td></tr></tbody></table><br><h4>7. React Router & Component State</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. React Router Setup (v4)</p><p style='margin: 0'>React Router &amp; Component State: React Router Setup (v4)</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating the Register Form with State</p><p style='margin: 0'>React Router &amp; Component State: Creating the Register Form with State</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating the Login Form with State</p><p style='margin: 0'>React Router &amp; Component State: Creating the Login Form with State</p></td></tr><tr><td style='padding: 15px;'><p>4. Testing Registration with Our Form - No Redux Yet</p><p style='margin: 0'>React Router &amp; Component State: Testing Registration with Our Form - No Redux Yet</p></td></tr><tr><td style='padding: 15px;'><p>5. Error Handling & Display</p><p style='margin: 0'>React Router &amp; Component State: Error Handling &amp; Display</p></td></tr></tbody></table><br><h4>8. Redux & Authentication</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why We Need Redux</p><p style='margin: 0'>Redux &amp; Authentication: Why We Need Redux</p></td></tr><tr><td style='padding: 15px;'><p>2. Redux Store & Chrome Extension Setup</p><p style='margin: 0'>Redux &amp; Authentication: Redux Store &amp; Chrome Extension Setup</p></td></tr><tr><td style='padding: 15px;'><p>3. Redux Action & Reducer Workflow Example</p><p style='margin: 0'>Redux &amp; Authentication: Redux Action &amp; Reducer Workflow Example</p></td></tr><tr><td style='padding: 15px;'><p>4. Registration & the Error Reducer</p><p style='margin: 0'>Redux &amp; Authentication: Registration &amp; the Error Reducer</p></td></tr><tr><td style='padding: 15px;'><p>5. Redux Login Action & Set Current User</p><p style='margin: 0'>Redux &amp; Authentication: Redux Login Action &amp; Set Current User</p></td></tr><tr><td style='padding: 15px;'><p>6. Login Form Functionality</p><p style='margin: 0'>Redux &amp; Authentication: Login Form Functionality</p></td></tr><tr><td style='padding: 15px;'><p>7. Logout & Conditional Navbar Links</p><p style='margin: 0'>Redux &amp; Authentication: Logout &amp; Conditional Navbar Links</p></td></tr></tbody></table><br><h4>9. Dashboard & Profile State - Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. TextFieldGroupInput Component</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Text: Dashboard &amp; Profile State - Part 1:</p></td></tr><tr><td style='padding: 15px;'><p>2. Profile Reducer & Get Current Profile</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Profile Reducer &amp; Get Current Profile</p></td></tr><tr><td style='padding: 15px;'><p>3. Spinner Component & Dashboard Start</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Spinner Component &amp; Dashboard Start</p></td></tr><tr><td style='padding: 15px;'><p>4. Private Route Setup</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Private Route Setup</p></td></tr><tr><td style='padding: 15px;'><p>5. CreateProfile Component & Route</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: CreateProfile Component &amp; Route</p></td></tr><tr><td style='padding: 15px;'><p>6. Form Field Components</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Form Field Components</p></td></tr><tr><td style='padding: 15px;'><p>7. Create Profile Form</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Create Profile Form</p></td></tr><tr><td style='padding: 15px;'><p>8. Create Profile Functionality</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 1: Create Profile Functionality</p></td></tr></tbody></table><br><h4>10. Dashboard & Profile State - Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Profile Actions Component & Delete Account</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Profile Actions Component &amp; Delete Account</p></td></tr><tr><td style='padding: 15px;'><p>2. Edit Profile Component</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Edit Profile Component</p></td></tr><tr><td style='padding: 15px;'><p>3. Add Experience Form</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Add Experience Form</p></td></tr><tr><td style='padding: 15px;'><p>4. Add Experience Functionality</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Add Experience Functionality</p></td></tr><tr><td style='padding: 15px;'><p>5. Add Education Form & Functionality</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Add Education Form &amp; Functionality</p></td></tr><tr><td style='padding: 15px;'><p>6. Dashboard Experience Display & Delete</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Dashboard Experience Display &amp; Delete</p></td></tr><tr><td style='padding: 15px;'><p>7. Dashboard Education Display & Delete</p><p style='margin: 0'>Dashboard &amp; Profile State - Part 2: Dashboard Education Display &amp; Delete</p></td></tr></tbody></table><br><h4>11. Profile Display</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Profiles Component & getProfiles Action</p><p style='margin: 0'>Profile Display: Profiles Component &amp; getProfiles Action</p></td></tr><tr><td style='padding: 15px;'><p>2. Profile Items</p><p style='margin: 0'>Profile Display: Profile Items</p></td></tr><tr><td style='padding: 15px;'><p>3. Profile By Handle & Sub Components</p><p style='margin: 0'>Profile Display: Profile By Handle &amp; Sub Components</p></td></tr><tr><td style='padding: 15px;'><p>4. Profile Header</p><p style='margin: 0'>Profile Display: Profile Header</p></td></tr><tr><td style='padding: 15px;'><p>5. Profile About & Credentials</p><p style='margin: 0'>Profile Display: Profile About &amp; Credentials</p></td></tr><tr><td style='padding: 15px;'><p>6. Profile Github & Touch Ups</p><p style='margin: 0'>Profile Display: Profile Github &amp; Touch Ups</p></td></tr></tbody></table><br><h4>12. Posts & Comments</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Post State & addPost Action</p><p style='margin: 0'>Posts &amp; Comments: Post State &amp; addPost Action</p></td></tr><tr><td style='padding: 15px;'><p>2. Posts & Post Form Component</p><p style='margin: 0'>Posts &amp; Comments: Posts &amp; Post Form Component</p></td></tr><tr><td style='padding: 15px;'><p>3. getPosts Action & PostFeed Component</p><p style='margin: 0'>Posts &amp; Comments: getPosts Action &amp; PostFeed Component</p></td></tr><tr><td style='padding: 15px;'><p>4. Post Item Component</p><p style='margin: 0'>Posts &amp; Comments: Post Item Component</p></td></tr><tr><td style='padding: 15px;'><p>5. Delete, Like & Unlike Posts</p><p style='margin: 0'>Posts &amp; Comments: Delete, Like &amp; Unlike Posts</p></td></tr><tr><td style='padding: 15px;'><p>6. Single Post Display</p><p style='margin: 0'>Posts &amp; Comments: Single Post Display</p></td></tr><tr><td style='padding: 15px;'><p>7. Comment Form Component & Action</p><p style='margin: 0'>Posts &amp; Comments: Comment Form Component &amp; Action</p></td></tr><tr><td style='padding: 15px;'><p>8. Comment Display & Delete</p><p style='margin: 0'>Posts &amp; Comments: Comment Display &amp; Delete</p></td></tr></tbody></table><br><h4>13. Prepare & Deploy</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Securing Our Keys</p><p style='margin: 0'>Prepare &amp; Deploy: Securing Our Keys</p></td></tr><tr><td style='padding: 15px;'><p>2. Heroku Setup</p><p style='margin: 0'>Prepare &amp; Deploy: Heroku Setup</p></td></tr><tr><td style='padding: 15px;'><p>3. Post Build & Deployment</p><p style='margin: 0'>Prepare &amp; Deploy: Post Build &amp; Deployment</p></td></tr></tbody></table>

Node.js

Build and deploy a social network with Node.js, Express, React, Redux and MongoDB. Learn how to put it all together

MERN Stack Front To Back: Full Stack React, Redux and Node.js

<p><strong>*** Data Analyst Training ***</strong></p><p>Approximately <strong>3.5 million jobs</strong> are there for professionals with Data Analyst skills. Understanding, harnessing, and using data in business is no longer just a competence for a few groups of highly compensated analysts. Data analysis is increasingly becoming a requirement for many occupations. You can obtain a strong foundation in data analysis and get your foot in the growing data world with this outstanding value, six-course Data Analyst Training bundle.</p><p>You will learn the fundamentals of data analysis from the Data Analyst Training bundle, which also covers process management concepts, numerous tools &amp; techniques for data analysis, dealing with variations tactics, and chart interpretation. Additionally, you will comprehensively understand how to use Excel to analyse and visualise data. This Data Analyst Training course teaches you how to make pivot tables, maps, and forecasting data. You will also learn about Microsoft Power BI.</p><p>Our intention is to give you thorough preparation. This <strong>Data Analyst Training bundle</strong> will prepare you to work as a data analyst. Each of the data analysis topics builds upon the one before it. And this is exactly why our Training is so beneficial. We promise that everything is presented in the proper sequence and that you won't get lost along the way.</p><p><strong>So why wait? Every day is a missed opportunity.</strong></p><p><strong>Enrol Data Analysis today and enjoy a smooth learning experience.</strong></p><p><strong>Learning Outcome of Data Analyst Training bundle</strong></p><ul><li>Get introduced yourself to how to analyse data</li><li>Know more about how to structure data analysis and forecast them</li><li>Become fully aware of how to use Google data studio and Microsoft azure machine learning</li><li>Gain the ability to use JavaScript</li><li>Learn to protect your data by using a Data protection practitioner and Clinical Data Analysis</li><li>Acquire knowledge of Machine Learning and how to use them with Python</li><li>Get <strong>Data Analyst Training</strong> from the experts</li><li>Understand the basics of data science and visualisation so that you can apply them frequently</li></ul><p><strong>Key Features &amp; Benefits:</strong></p><ul><li>Quality Licence Scheme (QLS) endorsed</li><li>CPD Accredited</li><li>Lifetime Access &amp; 24/7 Support on weekdays (Monday to Friday)</li><li>Self-paced course modules</li><li>Course materials feature captivating voice-overs and visuals</li></ul><p><strong>Why Quality Licence Scheme (QLS)?</strong></p><ul><li>Achieving <strong>Quality Licence Scheme</strong> endorsed certificates can provide you with valued and credible evidence of <strong>your skills and knowledge to potential employers.</strong></li><li>Quality Licence Scheme (QLS) endorsements are awarded to training programmes and courses that <strong>meet high quality standards</strong>, ensuring that your certificate represents <strong>a valuable achievement.</strong></li><li>The stringent assessment process involved in achieving Quality Licence Scheme Endorsed Certificates ensures that you have acquired the <strong>necessary skills and knowledge to excel in your chosen field.</strong></li></ul><p>With our Data Analyst (Data Analytics) bundle course, you can gain a solid foundation in data analysis and get your foot in the thriving data world.</p><ol><li>Diploma in Data Analysis Fundamentals <strong>( QLS Level 5 Endorsed )</strong></li><li>Business Data Analysis</li><li>Data Analysis In Excel <strong>( QLS Level 5 Endorsed )</strong></li><li>Diploma in Data Analytics with Tableau <strong>( QLS Level 6 Endorsed )</strong></li><li>Data Protection</li><li>Microsoft Power BI - Master Power BI in 90 Minutes!</li></ol><p>Data Analyst (Data Analytics) bundle course will educate you on the basics of data analysis, including process management principles, various tools &amp; techniques for data analysis, the strategies to deal with variations, and the interpretation of charts. Along with that, you will also gain a clear idea of analysing and visualising data using excel. This Data Analyst course will teach you how to create pivot tables, map and forecasting data.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 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 Data Analyst (Data Analytics) Training is ideal for highly motivated individuals who want to enhance their professional skills and train for the job they want!</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>This Data Analyst Training Bundle is ideal for anyone who wants to take their career development to the next level and fast-track their career in any of the following roles:</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Marketing analyst</li><li>Systems analyst</li><li>Data scientist</li><li>Machine learning engineer</li><li>Data analytics consultant</li></ul><p>In the UK, these professions' pay scale ranges from <strong>£45,000 to £120,000 </strong>per year.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p><strong>CPD Accredited Certification from One Education</strong></p><p>Once you have finished the bundle, you will be eligible to apply for CPD QS-accredited certificates. Certification is available in both PDF &amp; hardcopy format, which can be received by paying -</p><ul><li><strong>PDF Certificate: £9</strong></li><li><strong>Hardcopy Certificate (within the UK): £15</strong></li><li><strong>Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</strong></li></ul> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £109
        </p>
            <div> <p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the following courses under the bundle, learners will be able to order endorsed certificates as proof of their achievement:</p><ul><li><strong>Diploma in Data Analyst Fundamentals (within the UK: £109, International: £119)</strong></li><li><strong>Data Analyst In Excel (within the UK: £109, International: £119)</strong></li><li><strong>Diploma in Data Analytics with Tableau (within the UK: £119, International: £129</strong></li></ul> </div>

                        </div>

One Education

Data Analyst (Data Analytics) Course

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Are you ready to embark on an enlightening journey of wisdom with the HTML bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - HTML, Coding, CSS, &amp; Javascript (A-Z).</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Delve into eight immersive CPD Accredited courses, each a standalone course:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01: </strong>Basic HTML 5</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02: </strong>Coding with HTML, CSS, &amp; Javascript</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03: </strong>C++ Programming Certificate Course</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04: </strong>Intermediate Python Coding</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05: </strong>HTML Web Development Crash Course</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06: </strong>Web Design for Beginners: Build Websites in HTML &amp; CSS</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07: </strong>Create a Responsive HTML Email Template</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08: </strong>Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the HTML, Coding, CSS, &amp; Javascript (A-Z) bundle illuminate your path to wisdom.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The HTML, Coding, CSS, &amp; Javascript (A-Z) bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the framework of the HTML, Coding, CSS, &amp; Javascript (A-Z) package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the HTML bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">So, don&#39;t wait further and join the HTML, Coding, CSS, &amp; Javascript (A-Z) community today and let your voyage of discovery begin!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Attain a holistic understanding in the designated areas of study with the HTML bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Establish robust bases across each course nestled within the HTML bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Decipher intricate concepts through the articulate content of the HTML bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Amplify your prowess in interpreting, scrutinising, and implementing theories.</li><li fr-original-style="" style="box-sizing: border-box;">Procure the capacity to engage with the course material on an intellectual and profound level.</li><li fr-original-style="" style="box-sizing: border-box;">Become proficient in the art of problem-solving across various disciplines.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Stepping into the HTML bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The HTML bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the HTML bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The HTML bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the HTML bundle allows learners to make meaningful contributions to their chosen fields. Embark on the HTML journey and let knowledge guide you towards a brighter future.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals keen on deepening their firm understanding in the respective fields.</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing higher education looking for comprehensive theory modules.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to refresh or enhance their knowledge.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a thirst for knowledge and a passion for continuous learning.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Armed with the HTML bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it&#39;s academic research, consultancy, or programme management, the HTML bundle lays a solid groundwork.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">8 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hard copy Transcript - &pound;9.99</p></div>

                        </div>

NextGen Learning

Online Course Creation

HTML & CSS

Professional Skills Course (PSC)

Trainers Course

Continuous Professional Development (CPD)

ICDL (International Certification of Digital Literacy)

HTML, Coding, CSS, & Javascript (A-Z) - 8 Courses Bundle

<strong>Implement OTA programming, FreeRTOS and deep sleep in the ESP32</strong>
        <p>This course will provide you deeper insights into the features of the ESP32 board, that you didn't even imagine. You will be able to make your products or projects user-friendly by implementing OTA Programming and WiFi Manager. You'll gain an in-depth understanding of RTOS and its applications. Understand FreeRTOS and be able to implement it to optimize your projects or products.

Finally, you will learn to drastically reduce the power consumption of the ESP32 board, by implementing deep sleep and leveraging the ULP Coprocessor of the ESP32 in your products or projects.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Advanced-ESP32</p>
        <h2>What You Will Learn</h2><p>Integrate WiFi Manager to your projects to make WiFi Configuration much easier <br>Understand FreeRTOS in-depth and be able to implement it to optimize your projects <br>Reduce the power consumption of the ESP32 by using deep sleep <br>Learn basic ULP coprocessor programming for deep sleep</p>
        <h2>Audience</h2><p>If you are an engineer, a hobbyist or a student, who wants to learn and implement advanced concepts like Over The Air Programming, FreeRTOS and Ultra-Low Power Consumption in your ESP32 Projects or Products, then this course is for you. This is an advanced level course and experience with ESP32, and Arduino IDE is essential to follow this course.</p>
        <h2>Approach</h2><p>Through an innovative pedagogy of mixing projects and advanced concepts, this course will discover the features of the ESP32 board. For the more curious learners, we have provided ample resources to dive into and continue your learning journey.</p>
        <h2>Key Features</h2><p>Discover the features of the ESP32 board  * Gain confidence in writing code in C for any embedded boards  * Implement Over The Air Programming to your projects</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/advanced-esp32</p>
        <h2>About the Author</h2><h3>Venkatesh Varadachari</h3><p>Venkatesh Varadachari is the founder of MAKERDEMY, a pioneer maker education company head-quartered in Singapore.   Venkatesh believes that knowledge should be made available to people in all walks of life. Venkatesh also believes in the power of education to transform lives. Venkatesh has an MBA from the prestigious Indian Institute of Management, Bangalore. He also has a degree in Electrical Engineering from Madras University and a Masters in Financial Engineering from National University of Singapore. </p><br><h3>Naveen PS</h3><p>Naveen PS is an electronics engineer who is passionate about teaching electronics. He is also passionate about content writing, video production and teaching a wide variety of cutting-edge technologies. He is proficient in Python, Embedded C, JavaScript and PCB Designing. He also has experience in teaching the latest technologies, in a classroom setting of more than 2000 students.</p>
        <h2>Course Outline</h2><h4>1. A Deeper Insight into the ESP32 Features</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the course</p><p style='margin: 0'>A Deeper Insight into the ESP32 Features: Introduction to the course</p></td></tr><tr><td style='padding: 15px;'><p>2. Overview of the ESP32 Features</p><p style='margin: 0'>A Deeper Insight into the ESP32 Features: Overview of the ESP32 Features</p></td></tr><tr><td style='padding: 15px;'><p>3. Practical Insights into the ESP32 Features</p><p style='margin: 0'>A Deeper Insight into the ESP32 Features: Practical Insights into the ESP32 Features</p></td></tr><tr><td style='padding: 15px;'><p>4. Part 2: Practical Insights into the ESP32 Features</p><p style='margin: 0'>A Deeper Insight into the ESP32 Features: Practical Insights into the ESP32 Features</p></td></tr></tbody></table><br><h4>2. Over the Air Programming in ESP32</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is OTA Programming?</p><p style='margin: 0'>Over the Air Programming in ESP32: What is OTA Programming?</p></td></tr><tr><td style='padding: 15px;'><p>2. How do OTA Updates happen in the ESP32?</p><p style='margin: 0'>Over the Air Programming in ESP32: How do OTA Updates happen in the ESP32?</p></td></tr><tr><td style='padding: 15px;'><p>3. How to implement basic OTA Programming in the ESP32 Thing?</p><p style='margin: 0'>Over the Air Programming in ESP32: How to implement basic OTA Programming in the ESP32 Thing?</p></td></tr><tr><td style='padding: 15px;'><p>4. Implementing OTA Updates through a Web Server in the SparkFun ESP32 Thing</p><p style='margin: 0'>Over the Air Programming in ESP32: Implementing OTA Updates through a Web Server in the SparkFun ESP32 Thing</p></td></tr><tr><td style='padding: 15px;'><p>5. Implementing Cloud-Based OTA Updates in the SparkFun ESP32 Thing</p><p style='margin: 0'>Over the Air Programming in ESP32: Implementing Cloud-Based OTA Updates in the SparkFun ESP32 Thing</p></td></tr><tr><td style='padding: 15px;'><p>6. Implementing the WiFiManager Library in the SparkFun ESP32 Thing</p><p style='margin: 0'>Over the Air Programming in ESP32: Implementing the WiFiManager Library in the SparkFun ESP32 Thing</p></td></tr><tr><td style='padding: 15px;'><p>7. Part 1: Implementing WiFiManager and OTA Update in Projects</p><p style='margin: 0'>Over the Air Programming in ESP32: Part 1: Implementing WiFiManager and OTA Update in Projects</p></td></tr><tr><td style='padding: 15px;'><p>8. Part 2: Implementing WiFiManager and OTA Update in Projects</p><p style='margin: 0'>Over the Air Programming in ESP32: Part 2: Implementing WiFiManager and OTA Update in Projects</p></td></tr></tbody></table><br><h4>3. FreeRTOS on the ESP32</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is a Real Time Operating System?</p><p style='margin: 0'>FreeRTOS on the ESP32: What is a Real Time Operating System?</p></td></tr><tr><td style='padding: 15px;'><p>2. FreeRTOS Implementation in the ESP32</p><p style='margin: 0'>FreeRTOS on the ESP32: FreeRTOS Implementation in the ESP32</p></td></tr><tr><td style='padding: 15px;'><p>3. What are Tasks, Queues and Semaphores?</p><p style='margin: 0'>FreeRTOS on the ESP32: What are Tasks, Queues and Semaphores?</p></td></tr><tr><td style='padding: 15px;'><p>4. Implementing Dual-Core Multitasking and Synchronization in the ESP32 Thing</p><p style='margin: 0'>FreeRTOS on the ESP32: Implementing Dual-Core Multitasking and Synchronization in the ESP32 Thing</p></td></tr><tr><td style='padding: 15px;'><p>5. Inter-Task Communication in the SparkFun ESP32 Thing with FreeRTOS</p><p style='margin: 0'>FreeRTOS on the ESP32: Inter-Task Communication in the SparkFun ESP32 Thing with FreeRTOS</p></td></tr><tr><td style='padding: 15px;'><p>6. Performance Benchmarking with FreeRTOS implementation in the ESP32 Thing</p><p style='margin: 0'>FreeRTOS on the ESP32: Performance Benchmarking with FreeRTOS implementation in the ESP32 Thing</p></td></tr></tbody></table><br><h4>4. Deep Sleep in the ESP32</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What are the Sleep Modes in the SparkFun ESP32 Thing?</p><p style='margin: 0'>Deep Sleep in the ESP32: What are the Sleep Modes in the SparkFun ESP32 Thing?</p></td></tr><tr><td style='padding: 15px;'><p>2. Implementing Deep Sleep in the SparkFun ESP32 Thing</p><p style='margin: 0'>Deep Sleep in the ESP32: Implementing Deep Sleep in the SparkFun ESP32 Thing</p></td></tr><tr><td style='padding: 15px;'><p>3. Implementing External Wake-up Sources for Deep Sleep in the SparkFun ESP32 Thing</p><p style='margin: 0'>Deep Sleep in the ESP32: Implementing External Wake-up Sources for Deep Sleep in the SparkFun ESP32 Thing</p></td></tr><tr><td style='padding: 15px;'><p>4. Implementing an OLED NTP Clock with Deep Sleep using SparkFun ESP32 Thing</p><p style='margin: 0'>Deep Sleep in the ESP32: Implementing an OLED NTP Clock with Deep Sleep using SparkFun ESP32 Thing</p></td></tr><tr><td style='padding: 15px;'><p>5. Working with the ULP Coprocessor in the Arduino IDE</p><p style='margin: 0'>Deep Sleep in the ESP32: Working with the ULP Coprocessor in the Arduino IDE</p></td></tr><tr><td style='padding: 15px;'><p>6. Implementing ULP Coprocessor Wake-up from Deep Sleep in the ESP32</p><p style='margin: 0'>Deep Sleep in the ESP32: Implementing ULP Coprocessor Wake-up from Deep Sleep in the ESP32</p></td></tr><tr><td style='padding: 15px;'><p>7. Understanding the ULP Coprocessor Assembly Code in the ESP32</p><p style='margin: 0'>Deep Sleep in the ESP32: Understanding the ULP Coprocessor Assembly Code in the ESP32</p></td></tr><tr><td style='padding: 15px;'><p>8. Deep Sleep Power Consumption in the SparkFun ESP32 Thing</p><p style='margin: 0'>Deep Sleep in the ESP32: Deep Sleep Power Consumption in the SparkFun ESP32 Thing</p></td></tr></tbody></table>

Microcontroller

Implement OTA programming, FreeRTOS and deep sleep in the ESP32

Advanced ESP32

<p>The popularity of Augmented Reality (AR) technology has escalated due to its use by market leaders like Microsoft, Apple, Google, Facebook, and Amazon. It is now a billion pounds worth of market and is considered to be the next big thing in technological evolution. Want to learn how to meld the real with the virtual? Then take a step toward developing knowledge and skills that will drive your career forward and get ahead of the curve!</p> <p><strong>This Diploma In Augmented Reality at QLS Level 4</strong><strong> course is endorsed by The Quality Licence Scheme and accredited by CPDQS</strong><strong> (with 120 CPD points</strong><strong>) </strong><strong>to make your skill development &amp; career progression more accessible than ever!</strong></p> <p>This course is designed to break the complex AR concepts while also teaching the various scopes of Augmented Reality in education, business, medicine, military, scientific, industrial, and governmental policies. This course incorporates the use of Augmented Reality (AR) technologies to improve the education system and provide the experience of hands-on learning. In the same way, with the help of this Augmented Reality (AR) course, you will demonstrate an understanding of the possibilities of AR in business to fast-paced business operations as well as improve customer interactions to make better purchase decisions. Likewise, this Augmented Reality (AR) course will develop your perception of the applications of technology in the medical field as well as how governments can use such engineering for the welfare of the country and economy. Last but not least, this Augmented Reality (AR) course will prepare you to assess the future of AR and various career paths relating to it.</p> <p>This Augmented Reality (AR) training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!</p> <p><strong>What will you learn?</strong></p> <ul> <li>An Overview of Augmented Reality</li><li>The scope of AR in education and business</li><li>The Application of AR in the medical field</li><li>Military, Scientific, Industrial, and Government purposes</li><li>How to plan and create projects</li><li>Analyse and evaluate the future</li><li>Nano-scale technology</li><li>Uses of AR in the human body</li></ul> <p><strong> Get Additional Courses as Gifts </strong></p> <ul> <li>Diploma in Python Programming</li></ul> <p>Take a step toward a brighter future!</p> <p><strong>Why Prefer This Augmented Reality (AR) Course?</strong></p> <ul> <li>Opportunity to earn certificate a certificate endorsed by <strong>the Quality Licence Scheme</strong> &amp; another accredited by <strong>CPDQS.</strong></li><li>Get a <strong>free student ID card!</strong> (£10 postal charge will be applicable for international delivery)</li><li>Innovative and engaging content.</li><li>Free assessments</li><li>24/7 tutor support.</li></ul> <p><strong>*** Course Curriculum ***</strong></p> <p>Here is the curriculum breakdown of the course:</p> <ul> <li>Module 01: Introduction</li><li>Module 02: Application in Education</li><li>Module 03: Application in Business</li><li>Module 04: Application in Medicine</li><li>Module 05: Other Key Applications</li><li>Module 06: Assessing the Future</li></ul> <p><strong>Assessment Process</strong></p> <p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p> <p>After passing the <strong>Diploma In Augmented Reality at QLS Level 4</strong> exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        120 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 open to everyone of all academic backgrounds. However, this Augmented Reality course is mostly preferable by:</p> <ul> <li>Computer programming students interested in C# programming</li><li>Anyone who wants to develop Applications</li><li>Anyone interested to learn about new skills to comply with the evolving industry</li></ul> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Enrolling on this course can lead you to the following career paths:</p> <ul> <li>Content Developer</li><li>Content Strategist</li><li>User Experience Designer</li><li>Designer, Animator or Sound Artist</li><li>AR Community Manager</li><li>AR Project Manager</li></ul> <p>And many more!</p> 
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate Accredited by CPDQS</h4>
        <p>
            Digital certificate -
            £10
        </p>
        <h4>Diploma in Augmented Reality at QLS Level 4 </h4>
        <p>
            Hard copy certificate -
            £99
        </p>
            <div> <p><strong>Show off Your New Skills With a Certificate of Completion</strong></p> <p>After completing the <strong>Diploma in Augmented Reality at QLS Level 4</strong>, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of -</p> <ul> <li><strong>99 GBP inside the UK</strong></li><li><strong>109 GBP (including postal fees) for international delivery</strong></li></ul> <p><strong>Certificate Accredited by CPDQS</strong></p> <p>Upon finishing the Augmented Reality course, you need to order to receive a <strong> Certificate Accredited by CPDQS </strong>that is recognised all over the UK and also internationally. The pricing schemes are -</p> <ul> <li><strong>29 GBP for Printed Hardcopy Certificate inside the UK</strong></li><li><strong>39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)</strong></li></ul> </div>

                        </div>

Augmented Reality Diploma

<p><strong> Deal Price is Active! Offer Ends Soon; Hurry Up!!</strong></p><p><strong>Are you looking to improve your current abilities or make a career move? Our unique Business Intelligence Analyst Course might help you get there! Expand your expertise with high-quality training - study the Business Intelligence Analyst and get an expertly designed, great value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the online training course.</strong></p><p><strong>This </strong><strong>Diploma in Business Intelligence Analyst at QLS Level 5</strong><strong> course is endorsed by The Quality Licence Scheme and accredited by CPDQS</strong><strong> (with 150 CPD points</strong><strong>) </strong><strong>to make your skill development &amp; career progression more accessible than ever!</strong></p><p><strong>Why Prefer This Business Intelligence Analyst Course?</strong></p><ul><li>Opportunity to earn certificate a certificate endorsed by <strong>the Quality Licence Scheme</strong> &amp; another accredited by CPDQS after completing the Business Intelligence Analyst course</li><li>Get a <strong>free student ID card!</strong> (£10 postal charge will be applicable for international delivery)</li><li>Innovative and engaging content.</li><li>Free assessments</li><li>24/7 tutor support.</li></ul><p>The Business Intelligence Analyst course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the course, an instant e-certificate will be exhibited in your profile that you can order as proof of your new skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling on this Business Intelligence Analyst course.</p><p>With this comprehensive Business Intelligence Analyst course, you can achieve your dreams and train for your ideal career. The course provides students with an in-depth learning experience that they can work through at their own pace to enhance their professional development.</p><p>You'll get a <strong>Free Student ID</strong> card by enrolling in this Business Intelligence Analyst course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards.</p><p>This Business Intelligence Analyst training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join the Business Intelligence Analyst course today - gear up with the essential skills to set yourself up for excellence!</p> <p>Experts created the Business Intelligence Analyst course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you.</p><p>Start your learning journey straight away with this Business Intelligence Analyst course and take a step toward a brighter future!</p><p><strong>*** Course Curriculum ***</strong></p><p> Business Intelligence Analyst Course </p><ul><li>Module-1: An Introduction to Business Intelligence</li><li>Module-2: Real-time Business Intelligence</li><li>Module-3: Fundamentals of Statistics and Data Science</li><li>Module-4: Fundamentals of SQL</li><li>Module-5: Database Management Essentials</li><li>Module-6: Data Warehouse Concepts</li><li>Module-7: Data Visualisation in Business Intelligence</li><li>Module-8: Basics of Python</li></ul><p><strong>Assessment Process</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam.Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>After passing the <strong>Diploma in Business Intelligence Analyst at QLS Level 5</strong> course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 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>Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to enrol in this course.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this course, you are to start your career or begin the next phase of your career.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £10
        </p>
        <h4>Diploma in Business Intelligence Analyst at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            £119
        </p>
            <div> <p><strong>Show off Your New Skills with a Certificate of Completion</strong></p><p>After successfully completing the <strong>Diploma in Business Intelligence Analyst at QLS Level 5</strong>, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of -</p><ul><li><strong>119 GBP inside the UK</strong></li><li><strong>129 GBP (including postal fees) for International Delivery</strong></li></ul><p><strong>Certificate Accredited by CPDQS</strong></p><ul><li><strong>29 GBP for Printed Hardcopy Certificate inside the UK</strong></li><li><strong>39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)</strong></li></ul> </div>

                        </div>

Business Intelligence Analyst

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>System installersSystem integratorsSystem administratorsNetwork administratorsSolutions designers</p>Overview<p>After completing this course, you should be able to:Explain transactional service activation and how it relates to business requirementsExplain the benefits and uses of Cisco NSOExplain how Cisco NSO communicates with network devicesUnderstand the NETCONF protocol and be able to read and write simple YANG modelsInstall NSO and describe how NSO uses NETCONF and the Device Manager componentUnderstand the difference between devices that are fully NETCONF capable and those that are less or not NETCONF capableExplain the YANG service model structureDescribe how YANG is used with NSO, create and deploy a service, and explain NSO FASTMAPDesign and manage services with YANG modelsPerform NSO configuration and basic troubleshooting, and describe the following NSO features: integration options, alarms and reporting, scalability and performance options, and available function packsUse logs to troubleshoot the Cisco NSO deployment and check NSO communication with network devicesExplain the mapping logic of service parameters to device models and consequently to device configurationsDescribe the use of different integration options and APIsExplain the use of Reactive FASTMAP for manipulating and implementing advanced Network Functions Virtualization (NFV) componentsDescribe the use of feature components and function packsDefine and explain the European Telecommunications Standards Institute (ETSI) Open Source NFV Management and Orchestration (MANO) principles and solutionWork with the alarm console, and understand the NSO alarm structure and how it conforms to modern network operations procedures</p><p>The Cisco NSO Essentials for Programmers and Network Architects (NSO201) course introduces you to CiscoÂ© Network Services Orchestrator (NSO). You will learn to install Cisco NSO and use it to manage devices and create services based on YANG templates with XPath. This course provides a brief overview of NSO as a network automation solution, as well as an introduction to NETCONF, YANG, and XPath. You will learn about service packages, network element drivers, and Application Programming Interfaces (APIs). The course also covers service creation, device and configuration management, NSO maintenance, NSO options and integrations, and basic NSO troubleshooting.</p></div><div id="course-pills-2"><h4>Introduction to Cisco NSO </h4><ul><li>Meeting Challenges with Orchestration </li><li>Challenges of Network Management</li><li>Challenges of Network Orchestration</li><li>NSO Features and Benefits That Meet Challenges</li><li>Standardized Approach</li></ul><h4>What Is NSO? </h4><ul><li>Logical Architecture</li><li>Components</li></ul><h4>What Does NSO Do? </h4><ul><li>Orchestration Use Cases</li></ul><h4>How Does NSO Work? </h4><ul><li>Introduction to NETCONF and YANG</li><li>Packages</li><li>Mapping Logic</li><li>Network Element Drivers (NEDs)</li></ul><h4>Resources and Training </h4><ul><li>Resources</li><li>Training</li></ul><h4>Get Started with Cisco NSO </h4><ul><li>Installing Cisco NSO </li><li>Setup Overview</li><li>Cisco NSO Local Installation</li><li>Installing NEDs</li><li>Using NetSim</li></ul><h4>NETCONF Overview </h4><ul><li>Challenges of Network Management</li><li>Introduction to NETCONF</li><li>NETCONF Operation</li></ul><h4>Device Manager </h4><ul><li>Device Manager Overview</li><li>Device Configuration Management</li><li>Device Connection Management</li><li>Templates and Groups</li><li>Other Device Management Tools</li></ul><h4>Service Manager Essentials </h4><ul><li>YANG Overview </li><li>Introduction to YANG</li><li>Other Representations of YANG</li><li>Data Types</li><li>XPath Overview</li><li>Basic YANG Statements</li><li>Can You Spot the Error?</li></ul><h4>Using Services </h4><ul><li>Package Architecture</li><li>Creating a Service Package</li><li>Sample Service Configuration</li><li>Service Template</li><li>YANG Service Model</li><li>Deploying a Service</li></ul><h4>Model-to-Model Mapping </h4><ul><li>Mapping Introduction</li><li>Mapping Logic</li><li>FASTMAP</li><li>Template Processing</li></ul><h4>Service Design and Cisco NSO Programmability </h4><ul><li>Service Design </li><li>Service Design Overview</li><li>Top-Down Approach</li><li>Bottom-Up Approach</li><li>Device Configuration</li><li>Service Model</li></ul><h4>Service Management </h4><ul><li>Service Management Tasks</li><li>Service Lifecycle Management Guidelines</li></ul><h4>NSO Programmability Introduction </h4><ul><li>NSO Programmability Overview</li><li>Python Service Skeleton</li><li>Creating a Service YANG Model</li><li>Creating a Service Template</li><li>Template Processing with Python</li></ul><h4>Cisco NSO Flexibility </h4><ul><li>System Configuration and Troubleshooting </li><li>System Configuration</li><li>System Troubleshooting</li></ul><h4>Integration </h4><ul><li>Integration Options</li><li>NETCONF Server</li><li>Web Integration</li><li>SNMP Agent</li></ul><h4>Alarm Management and Reporting </h4><ul><li>Alarm Management</li><li>Reporting</li></ul><h4>Scalability and Performance </h4><ul><li>High Availability</li><li>High-Availability Cluster Communications</li><li>Clustering</li><li>Layered Service Architecture</li><li>Addressing Performance Limitations</li></ul><h4>Components and Function Packs </h4><ul><li>Function Packs</li><li>NFV Orchestration</li><li>Reactive FASTMAP</li></ul></div>

Nexus Human

Cisco Certified Network Professional certification (CCNP)

Service Design Courses (SDC)

Network & Security

Network Engineer

Client Contractor National Safety Group (CCNSG)

IT Networking Fundamentals

Cisco NSO Essentials for Programmers and Network Architects v3.0 (NSO201)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>Overview<p>In this course you?ll learn how to:<br />Containerize and deploy a new Python script<br />Configure the deployment with ConfigMaps, Secrets and SecurityContexts<br />Understand multi-container pod design<br />Configure probes for pod health<br />Update and roll back an application<br />Implement services and NetworkPolicies<br />Use PersistentVolumeClaims for state persistence<br />And more</p><p>In this vendor agnostic course, you will use Python to build, monitor and troubleshoot scalable applications in Kubernetes.</p></div><div id="course-pills-2"><h4>Introduction</h4><ul><li>Objectives</li><li>Who You Are</li><li>The Linux Foundation</li><li>Linux Foundation Training</li><li>Preparing Your System</li><li>Course Registration</li><li>Labs</li></ul><h4>Kubernetes Architecture</h4><ul><li>What Is Kubernetes?</li><li>Components of Kubernetes</li><li>Challenges</li><li>The Borg Heritage</li><li>Kubernetes Architecture</li><li>Terminology</li><li>Master Node</li><li>Minion (Worker) Nodes</li><li>Pods</li><li>Services</li><li>Controllers</li><li>Single IP per Pod</li><li>Networking Setup</li><li>CNI Network Configuration File</li><li>Pod-to-Pod Communication</li><li>Cloud Native Computing Foundation</li><li>Resource Recommendations</li><li>Labs</li></ul><h4>Build</h4><ul><li>Container Options</li><li>Containerizing an Application</li><li>Hosting a Local Repository</li><li>Creating a Deployment</li><li>Running Commands in a Container</li><li>Multi-Container Pod</li><li>readinessProbe</li><li>livenessProbe</li><li>Testing</li><li>Labs</li></ul><h4>Design</h4><ul><li>Traditional Applications: Considerations</li><li>Decoupled Resources</li><li>Transience</li><li>Flexible Framework</li><li>Managing Resource Usage</li><li>Multi-Container Pods</li><li>Sidecar Container</li><li>Adapter Container</li><li>Ambassador</li><li>Points to Ponder</li><li>Labs</li></ul><h4>Deployment Configuration</h4><ul><li>Volumes Overview</li><li>Introducing Volumes</li><li>Volume Spec</li><li>Volume Types</li><li>Shared Volume Example</li><li>Persistent Volumes and Claims</li><li>Persistent Volume</li><li>Persistent Volume Claim</li><li>Dynamic Provisioning</li><li>Secrets</li><li>Using Secrets via Environment Variables</li><li>Mounting Secrets as Volumes</li><li>Portable Data with ConfigMaps</li><li>Using ConfigMaps</li><li>Deployment Configuration Status</li><li>Scaling and Rolling Updates</li><li>Deployment Rollbacks</li><li>Jobs</li><li>Labs</li></ul><h4>Security</h4><ul><li>Security Overview</li><li>Accessing the API</li><li>Authentication</li><li>Authorization</li><li>ABAC</li><li>RBAC</li><li>RBAC Process Overview</li><li>Admission Controller</li><li>Security Contexts</li><li>Pod Security Policies</li><li>Network Security Policies</li><li>Network Security Policy Example</li><li>Default Policy Example</li><li>Labs</li></ul><h4>Exposing Applications</h4><ul><li>Service Types</li><li>Services Diagram</li><li>Service Update Pattern</li><li>Accessing an Application with a Service</li><li>Service without a Selector</li><li>ClusterIP</li><li>NodePort</li><li>LoadBalancer</li><li>ExternalName</li><li>Ingress Resource</li><li>Ingress Controller</li><li>Labs</li></ul><h4>Troubleshooting</h4><ul><li>Troubleshotting Overview</li><li>Basic Troubleshooting Steps</li><li>Ongoing (Constant) Change</li><li>Basic Troubleshooting Flow: Pods</li><li>Basic Troubleshooting Flow: Node and Security</li><li>Basic Troubleshooting Flow: Agents</li><li>Monitoring</li><li>Logging Tools</li><li>Monitoring Applications</li><li>System and Agent Logs</li><li>Conformance Testing</li><li>More Resource</li><li>Labs</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Kubernetes for App Developers training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Kubernetes for App Developers course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Learning & Development

AWS Certified Developer

Kubernetes

AWS Certified Cloud Practitioner

Kubernetes for App Developers

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

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

AWS Certified Solutions Architect

AZ-204T00 Developing Solutions for Microsoft Azure

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

Azure Machine Learning

Microsoft AI-900

Azure Cognitive Services

AI-102T00 Designing and Implementing an Azure AI Solution

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 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
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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 

Programming Fundamentals

Career Development

IT Certifications

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


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

Python Certification - IT Job Ready Program with Money Back Guarantee

<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>

Python

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)

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

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

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

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

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

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

                        </div>

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

Business Analytics & Intelligence

Data Engineering

Big Data Analytics

Data Science

Data Skills

Data Analyst

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

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

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

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

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

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

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

                        </div>

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


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


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


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


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


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


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


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


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

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

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

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

Python Programming

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

Apex Learning

Google Data Studio

GDPR

Data Mining

Tableau

Business Intelligence (BI)

ChatGPT

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

Data Analyst (Data Analytics) Diploma - CPD Certified

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

The Ultimate Guide to Python Programming with Python 3.10

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

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

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

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

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

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

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

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