all tracks

Pandas curriculum

Real DataFrame wrangling: filtering, groupby, merges, reshaping.

0 / 13 lessons completed

Beginner

Start here — the syntax and mental models everything else builds on.

Series & DataFrames

6 min

The two containers every pandas workflow is built from.

0 / 1 done

Selecting rows

7 min

Boolean masks, loc/iloc and sorting.

0 / 1 done

Intermediate

Combine data from several places and reshape it into answers.

GroupBy & aggregation

17 min

Split, apply, combine — plus transform for per-row group stats.

0 / 2 done

Merging & reshaping

17 min

Joins, pivot tables and melt.

0 / 2 done

Cleaning data

15 min

Missing values, dtypes and duplicates.

0 / 2 done

Advanced

The techniques that show up in real interviews and real pipelines.

Time series

26 min

Datetime indexes, resampling and rolling windows.

0 / 3 done

Performance & scale

17 min

Vectorisation, memory-friendly dtypes and chunked processing.

0 / 2 done