Python for Data Analysis
From a messy spreadsheet to an answer you can defend.
- Level
- Beginner
- Duration
- 1 h 50 min · 8 lessons
- Language
- English
- Updated
- September 2026
byTomás Albrecht
- 8 video lessons
- 1 h 50 min of video, at your own pace
- Progress saved across your devices
- 14-day refund policy (details)
01What you will learn
What you will learn
- Load CSV and Excel data into pandas
- Clean missing, duplicated and inconsistent values
- Group, pivot and join tables
- Choose a chart that answers the question
- Write a reproducible analysis notebook
02About this course
A practical introduction to analysing data with Python and pandas. Every lesson works on realistic, imperfect data — duplicated rows, missing values, inconsistent dates — because that is what real work looks like.
By the end you will be able to load, clean, reshape and summarise a dataset, and present the result as a short, honest chart with a clear takeaway.
03Curriculum
3 modules, 8 lessons
1 h 50 min in total
04Before you start
- No prior Python needed
- A computer that can run Jupyter or VS Code
05Your instructor
Tomás Albrecht
Data scientist and analytics lead
Tomás has worked on forecasting and analytics in retail and logistics. He cares about the steps that come before the model — getting data right, asking the right question — and about explaining results to people who will act on them.
All 2 courses by Tomás →06Questions
Questions
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