Data Analytics with Python
Data Analytics with Python — language and ecosystem fundamentals: syntax, tooling, and a small end-to-end project on Helpy AI Classroom.
What you can achieve
- Write readable, idiomatic code for Data Analytics with Python
- Use standard build, test, and package tooling
- Structure a small service or script end to end
Typical pace
5–10 weeks at 4–6 hours per week
Who it is for
Developers leveling up from front-end or no-code into full-stack work.
Prerequisites & best fit
Programming fundamentals; comfort with the command line helps.