Python Pandas Course Outline
This course covers pandas from the ground up — installation, core data structures, indexing, data cleaning, transformation, aggregation, merging, reshaping, time series, I/O, performance optimization, visualization, and a final capstone project.
📥 Sample datasets are available for download so you can follow along with every example. See the Pandas Tutorial for the full list.
Modules
| # | Module | Topics |
|---|---|---|
| 1 | Pandas Tutorial | Installation, Series, DataFrame, indexing, cleaning, transforming, groupby, merge, reshape, time series, I/O, performance, visualization |
| 2 | Common Methods | Quick reference for selection, cleaning, aggregation, merging, reshaping, I/O, plotting |