Python for Data Work
A practical on-ramp to data work in Python: the language basics you need, pandas, plotting, and reproducible workflows.
COURSE · DATA
Python for Data Work
12 LESSONS
YOUR INSTRUCTOR
Tomas Berg
Tomas moves between data work and backend architecture, which is less of a jump than it sounds: both are mostly about what you do when the volume grows by two orders of magnitude. He teaches with worked examples and back-of-the-envelope numbers, because a design you cannot estimate is a design you cannot defend.
View instructorWhat you'll learn
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.
Course content
4 MODULES · 12 LESSONS · 3H 35M TOTAL
MODULE 01 Python Foundations for Data
The subset of Python that data work actually uses, taught in the order you will need it.
3 LESSONS · 25M
MODULE 02 pandas Essentials
The dataframe workflow: loading, cleaning, reshaping, and summarising tabular data.
3 LESSONS · 1H 14M
Every lesson, searchable to the second.
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