Data Analytics / Intermediate
Python for Data Analysis
Move beyond Excel and SQL. Use pandas to clean messy real-world data, run group-bys, merge tables, and produce reproducible analysis notebooks. Ends with a guided case study on customer churn.
pythonpandasnumpyjupyter
Curriculum
What you’ll cover.
5 lessons. Each one stands alone but builds on the last. Read in order or jump to what you need.
- L0101 — Why Python beats Excel beyond 100k rows12 minLocked
- L0202 — pandas DataFrames: the analyst's best friend12 minLocked
- L0303 — groupby, agg, and pivot — SQL-style in pandas12 minLocked
- L0404 — Joining data with merge12 minLocked
- L0505 — Cleaning messy real-world data12 minLocked