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  1. Learn How to Code | Codecademy

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

  2. Learn to Code - for Free | Codecademy

    Grow in your career and unlock new opportunities by learning in-demand skills in AI, data, coding, cybersecurity, and more.

  3. Code Foundations - Codecademy

    This path provides an overview of the main branches of programming: computer science, web development, and data science. It teaches important concepts you’ll find in every coding language, …

  4. Catalog Home | 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.

  5. What is Programming? And How to Get Started | Codecademy

    Programming is the mental process of thinking up instructions to give to a machine (like a computer). Coding is the process of transforming those ideas into a written language that a computer can …

  6. Code Foundations Courses & Tutorials | Codecademy

    Build a strong coding foundation with Codecademy's comprehensive courses. Learn languages, syntax, and problem-solving. Start your coding journey now!

  7. Java Tutorial: Learn Java Programming | Codecademy

    Learn to code in Java — a robust programming language used to create software, web and mobile apps, and more.

  8. 11 Best Coding Projects for Newbies + Beginners - Codecademy

    Feb 13, 2025 · These projects help teach you the basics of programming, force you to think like a developer, and expose you to the tools you’ll use later in your career. To help you gain some hands …

  9. Learn C++ (C Plus Plus) Tutorial | Codecademy

    Learn C++ — a versatile programming language that’s important for developing software, games, databases, and more.

  10. Computer Science Courses & Tutorials | 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.