
A practical on-ramp to data work in Python: the language basics you need, pandas, plotting, and reproducible workflows.

Write practical Python
Use the data types, comprehensions, and file handling that data work leans on daily.
Work with dataframes
Load, clean, filter, and aggregate tabular data with pandas without fighting the API.
Visualise findings
Produce charts that communicate a result rather than merely displaying numbers.
Make it reproducible
Manage environments and turn a notebook into something that runs the same way twice.
4 modules • 12 lessons • 3h 35m total length
