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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. 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 …

  5. 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.

  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. Learn Computer Science with Codecademy

    If tech is a gold mine, Computer Science is your shovel. Fortunately, this Path teaches you college-level fundamentals, so you can start thinking and coding like a professional in no time.

  9. Computer Science - Codecademy

    Looking for an introduction to the theory behind programming? Master Python while learning data structures, algorithms, and more! Includes **Python**, **Command Line**, **Git**, **Data …

  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.