Data Analysis with Python Certification
About this course
This certification moves from general Python programming into the specific libraries used for real data analysis work: NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for visualization. Learners complete five real-world data analysis projects — including analyzing demographic data and medical examination data — that mirror the kind of work junior data analysts actually do.
It's the natural follow-up to freeCodeCamp's Scientific Computing with Python certification, taking general programming competency and applying it specifically to the data analysis toolchain most data analyst and junior data scientist roles expect. Combined with the earlier Python certification, it forms a complete, entirely free path from zero programming experience to applied data analysis competency.
What you'll learn
This course includes
Compare alternatives for Data Analysis with Python Certification
- Price
- FreeCompletely free, forever
- Duration
- 300 hrs
- Level
- Intermediate
- Certificate
- Completion
- Price
- FreeCompletely free, openly licensed — no certificate
- Duration
- 34 hrs
- Level
- Intermediate
- Certificate
- Price
- FreeFree lecture materials; some versions paid
- Duration
- 50 hrs
- Level
- Advanced
- Certificate
- Price
- FreeFree lecture materials; some versions paid
- Duration
- 50 hrs
- Level
- Advanced
- Certificate
Instructor
Produced by freeCodeCamp, a nonprofit organization that has helped millions of people learn to code for free through project-based, certificate-backed curricula.
Requirements
- Basic Python knowledge (freeCodeCamp's Scientific Computing certification or equivalent) recommended
Who this course is for
- Learners who completed Python fundamentals and want applied data skills
- Aspiring data analysts building a free, project-based portfolio
- Anyone wanting hands-on Pandas and NumPy experience without a paid course