# Pandas

Source: https://freeaicourses.com/courses/kaggle-pandas
Last checked: 2026-09-15

## Who it is for

- People who know basic Python
- Anyone about to start an ML course

## Who should skip it

- Complete beginners to Python
- People who already use pandas at work

## What you can do afterwards

- Load, filter and reshape tabular data
- Group and summarise a dataset
- Clean up missing values

## What the course covers

- Creating, reading and writing: Getting data in and out of DataFrames.
- Indexing, grouping and sorting: Asking useful questions of a dataset.
- Data types and missing values: The cleaning work that real data always needs.

## What works

- Runs in the browser, nothing to install
- Every lesson ends with an exercise
- Short

## What does not

- Covers the essentials only
- No real project

## Take after

Kaggle Intro to Machine Learning

## Verdict

Do this straight after learning basic Python. Almost every ML course expects you to be comfortable with pandas, and this is the fastest way to get there.

## Related pages

- [Kaggle Intro to Machine Learning](https://freeaicourses.com/courses/kaggle-intro-machine-learning)
- [Kaggle Learn](https://freeaicourses.com/platforms/kaggle)
- [All free AI courses, rated](https://freeaicourses.com/courses)