A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Codecademy's Data Science
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.

About Codecademy's Data Science
Codecademy's Data Scientist: Machine Learning Specialist is a web-based career path for beginners with no stated prerequisites. It is organized into 27 units, 81 lessons, 59 projects and 58 quizzes, with an average completion time of about 95 hours based on combined completion rates; individual pacing varies. The curriculum covers Python 3, SQL, pandas, scikit-learn, Matplotlib and TensorFlow, plus conceptual work on data literacy, prediction and neural networks. The site lists 191,139 learners enrolled and cites a US average salary of $125,000 for the role.
Key features
- 27-unit beginner path covering Python 3, SQL, pandas, scikit-learn, Matplotlib, TensorFlow
- 59 hands-on portfolio projects using real datasets
- AI Learning Assistant gives feedback on course code and instructions
- Job-readiness checker produces a personalized report against job requirements
- AI interview simulator offers feedback on interviewing skills
- Assessments and quizzes track progress and highlight topics for review
- No stated prerequisites and a beginner skill level
- Substantial project count (59) for building a portfolio
- Professional certification can be earned by passing all exams with ProPass
- Only available on the web and in English
- The stated 95 hours is an average; actual time varies with individual pacing
- Pricing is not stated on the page, and the professional certification requires ProPass
Codecademy's Data Science at a glance
- Category
- Education & Learning › Learn to Code
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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