Learn to Code - for Free | Codecademy
Want to learn how to get started with programming in an interactive way? Try our drag and drop code lessons!
Learn How to Code - Codecademy
Want to learn how to get started with programming in an interactive way? Try our drag and drop code lessons!
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.
Code Foundations - Codecademy
Interested in learning how to code, but unsure where to start? 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, such as …
Learn Java - Codecademy
Learn about object-oriented programming in Java. Explore syntax for defining classes and creating instances.
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 Structures**, and more.
Welcome To Codecademy
Have you heard that coding is an exciting skill to learn, but you aren’t sure where to start? This course is the perfect place to start if you are brand new to coding. You will get comfortable using our interactive coding platform and write your first few lines of code! Along the way, you will learn how to animate your name using JavaScript.
Learn C++ - Codecademy
With its adaptability and fast rendering, you’ll find the C++ programming language used everywhere, from web browsers to game development and operating systems to science and machine learning tools.
Python Courses & Tutorials - Codecademy
Learn about the computer science concepts of data structures and algorithms and build implementations of each from scratch in modern Python.
Computer science Courses & Tutorials - Codecademy
Get started in Computer Science (CS) with Codecademy's courses & tutorials. Excel in algorithms, data structures, and programming languages.