Track 1 · Python & Data Foundations
For complete beginners. No programming experience assumed — if you have never written a line of code, this is your on-ramp.
What you’ll be able to do
Section titled “What you’ll be able to do”- Use a Jupyter notebook confidently (the tool every data scientist uses daily)
- Store and manipulate values with variables and lists
- Repeat work with loops
- Choose the right chart for a question — and spot charts that mislead
- Diagnose missing data with
missingno, and judge what it does to your conclusions
Lessons
Section titled “Lessons”| # | Lesson | Time |
|---|---|---|
| 1 | Your first notebook | ~45 min |
| 2 | Choosing the right chart | ~75 min |
| 3 | Seeing what’s missing | ~75 min |
Lessons 2 and 3 are where beginners usually leap ahead: most courses teach you to make a chart, few teach you which chart to make or what your data isn’t telling you.
How to work
Section titled “How to work”Run every cell yourself, change things, break things, re-run. If you get lost, ↺ Reset this notebook (under every notebook) restores the original, so nothing you do can go wrong. Curiosity beats caution here.
Co-funded by the European Union under the Digital Europe Programme — projectEURIDICE, Grant Agreement No. 101123121. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.
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