Coding Classes London

Meet the global demand for technical problem-solvers by developing your coding skills to create full-stack web applications across multiple frameworks, incorporating functionality from third-party APIs, executing software engineering projects in an Agile development workflow, and more.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

Become a Software Engineer or Full Stack Developer in this immersive course. Master the front-end using HTML, CSS, JavaScript, and React; build the back-end with Python, Django, and Node.js. You'll also learn Git for version control, Flexbox and Grid for layout, MongoDB for creating data structures, and much more. Throughout the program, you'll build a portfolio of projects to help you secure a career in software and development. 

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

In this certificate program, participants will learn the skills needed to become a full-stack web developer. Students will learn to build the front-end of websites with HTML, CSS, and JavaScript as well as learning how to program the back-end of websites with Node.js. Students will also be introduced to developer tools such as Git to collaborate with developers as well as modern web technologies such as Flexbox, Grid, & Bootstrap to efficiently create responsive websites. Attendees will learn the skills needed to start an entry-level career in development after graduation. The program includes a free retake and each course includes a step-by-step workbook.

Gain fluency in Python — the world's fastest-growing major programming language — and start leveraging its versatile capabilities to build web and data science applications. This course is offered in person and live online, in a remote classroom setting.

Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs. This course is offered in person and live online, in a remote classroom setting.

Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.

This coding workshop is a beginner-friendly bootcamp designed for individuals looking to launch or shift into a career like web design or web development. In this hands-on bootcamp, students will be introduced to web development fundamentals and learn the basics of JavaScript, arguably the most essential coding language for front-end web development.

During a pre-course independent learning session (materials provided), students will need to learn coding skills in HTML, CSS, JavaScript, Git, and APIs. Once class begins, students learn advanced JavaScript, unit testing, fundamentals of other programming languages, data structures, and more. Students also gain experience with back end frameworks, such as Node, Express, and Koa, and databases, like SQL and MongoDB, as well as advanced HTML and CSS. Additionally, the class includes instruction on front end frameworks such as Angular and React and about security threats, authentication, and automated tasks.

Start building responsive websites with HTML, CSS, and JavaScript — a versatile skill set with powerful applications in a variety of design, marketing, and other tech-adjacent roles. This course is offered in person and live online, in a remote classroom setting.

Gain fluency in JavaScript — the world's most popular programming language — and start leveraging its versatile capabilities to build rich, interactive websites and applications. This course is offered in person and live online, in a remote classroom setting.

Students are provided with pre-course material so that they can enter the class with strong abilities in JavaScript, HTML, CSS, and a basic understanding of Git, Developer tools, and APIs. Upon official class meetings, students learn advanced JavaScrip, unit testing, data structures, algorithms, and networking (Internet, HTTP, WebSocket), and more. More topics include back end frameworks, like Node, Express, GraphQL, and Koa, and databases, such as SQL and MongoDB. Front end frameworks are taught, including Angular and React and end-to-end testing.

Expand your JavaScript programming skills, and boost your profile at work — and on the job market. Learn to build sophisticated, scalable web applications. This course is offered in person and live online, in a remote classroom setting.

This SQL bootcamp is a beginner-friendly workshop designed for individuals with no prior knowledge of SQL who are eager to learn. In this hands-on workshop, students will learn the basics of SQL syntax and how databases are organized. Students in this course will also learn how to query data, aggregate data with statistical functions (SUM, AVG, COUNT, etc.), group data, and use conditional operators (=, <, >, etc.) to sort and filter data, and much more. Students will also learn when and how to use UNIONs and JOINs to merge data to spot trends and other insights.

This 5-day introductory Python programming course is designed for students with no prior programming experience and are looking to get comfortable with basic skills needed for Python programming. This skills-centric course will cover foundational Python concepts, including data types, control statements, using functions and modules, handling exceptions and debugging programs, working with lists, and how to work with a variety of data types. By the end of the course, students will be familiar with writing programs to create real-world Python applications.

This 3-day advanced Python programming course is designed for students already familiar with Python programming who are looking to understand more advanced procedures. This course will cover a range of advanced Python concepts, including classes and objects, methods, inheritance, the importance of the Standard Library, working with the OS, advanced comprehensions, as well as testing and debugging programs. Students will also learn how to package an application for distribution.

In this 2-day introductory Python course, participants will learn the fundamentals of Python programming. This hands-on course will give students with no prior Python experience the foundational programming skills needed to continue learning Python’s applications in data science or web development. Topics include Python environment setup, programming concepts, data structures, exceptions, Python syntax, and more.

This data science program is a beginner-friendly bootcamp designed for individuals interested in learning the best practice of working with data and understanding how to gain insights from large data sets. In this hands-on bootcamp, students will get an overview of data science, including the various roles within data science and how to recognize and solve problems with data science. Students will also discuss how to use some well-known statistical models and how models fit into a data science project. Finally, students will explore various tools, including data visualization, analytical, and modeling tools essential in the field of data science.