About 50 results
Open links in new tab
  1. Learn Python with Codecademy Pro

    When learning is easy, anything is possible. Join Codecademy Pro and find out where learning Python can take you.

  2. Catalog Home | Codecademy

    Applied Data Science with Python for Beginners Start your data science journey with Python. Learn analysis, visualization, and modeling by working on real-world datasets and projects.

  3. Python for Programmers | Codecademy

    This course is tailored for experienced programmers who want to quickly get up to speed with Python. It’s structured in short, interactive articles you can skim, dive into, or use as a reference guide.

  4. Python | Codecademy

    Learn the basics of Python 3.12, one of the most powerful, versatile, and in-demand programming languages today.

  5. Intro to Language Models in Python | Codecademy

    In this course, you will learn how to build and work with the most common language models in data science, including bag-of-words, tf-idf, and word embeddings. Learn the basic skills you need before …

  6. 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 …

  7. Data Scientist: Machine Learning Specialist | Codecademy

    Python Fundamentals for Data Science (Part II) Continue building your Python Skills while applying them to real data science challenges including finding and working with real data.

  8. Data Science Courses & Tutorials - Codecademy

    Data science courses & tutorials at Codecademy cover Python, SQL, ML/AI, Business Intelligence, R Lang & more. Start your data journey today.

  9. Learn Advanced Python 3 | Codecademy

    Learn the basics of functional programming, concurrent programming, deployment, and more in this advanced Python course.

  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.