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  1. Learn to Code - for Free | Codecademy

    Learn the technical skills to get the job you want. Join over 50 million people choosing Codecademy to start a new career (or advance in their current one).

  2. Learn How to Code | Codecademy

    New to coding? Start here and learn programming fundamentals that can be helpful for any language you learn.

  3. Learn JavaScript | Codecademy

    Make progress faster with our AI Learning Assistant, a tool that automatically understands your current course, instructions, and solution code — and gives you instant, personalized feedback.

  4. Welcome To Codecademy | Codecademy

    Take what you're learning into the real world. Choose from guided projects that help you solidify new concepts — or test yourself with independent projects designed to build your portfolio.

  5. Catalog Home | Codecademy

    You'll learn the foundations of user research, wireframing, prototyping, and usability testing — then apply them through hands-on projects using industry-standard tools.

  6. Code Foundations Courses & Tutorials | Codecademy

    Interested in learning how to code, but unsure where to start? Our Code Foundations domain provides an overview of the main applications of programming and teaches important …

  7. Java Tutorial: Learn Java Programming | Codecademy

    With it, you’ll be able to develop large systems, software, and mobile applications — and even create mobile apps for Android. Learn important Java coding fundamentals and practice your …

  8. Code Foundations | Codecademy

    Start your programming journey with an introduction to the world of code and basic concepts. Includes Technical Literacy, Career Overviews, Programming Concepts, and more.

  9. Learn C# (C Sharp) | Codecademy

    Learn Microsoft's popular C# programming language, used to make websites, mobile apps, video games, VR, and more.

  10. Learn Python 2 | Codecademy

    Learn the basics of the world’s fastest growing and most popular programming language used by software engineers, analysts, data scientists, and machine learning engineers alike.