Learners who already understand Python basics and want to move into data work.
About this course
Continue learning Python with a focus on the tools used for working with data. The playlist introduces Jupyter Notebooks and Anaconda and develops a practical data-oriented workflow through explanations and demonstrations.
Skills you will explore
- Python data tools
- Jupyter notebooks
- Anaconda
- Data exploration
- Data workflows
Course at a glance
| Provider | Microsoft |
|---|---|
| Platform | YouTube · Microsoft Developer |
| Access | Free Video |
| Level | Intermediate — WikiFree audience assessment |
| Main language | English |
| Available videos | 31 |
| Video duration | 2h 32m · allow extra time for practice |
| Details checked | 8 October 2026 |
Who is this for?
Learners who already understand Python basics and want to move into data work. Start with the original Python for Beginners series if the language is new to you.
Make the lessons useful
Choose a small dataset and record three questions you want to answer. Organize a notebook so loading, inspection, transformations, and conclusions are easy to distinguish.
Use the lesson list to study in sequence or return to a specific topic. Search by title, move between videos with Previous and Next, and mark a lesson complete when you finish. Your progress is kept in this browser; a WikiFree account is not required.
What is free?
The lessons in this listing are free YouTube videos. Free Video describes viewing access; cloud resources, AI services, software licenses, or other tools demonstrated in the recordings may have separate requirements or charges. You can watch without purchasing those optional services.
This listing does not include a certification exam or promise a certificate. Check current product documentation before applying older demonstrations to a new project.
Official Microsoft Developer course playlist ↗
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Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free Python Data Tools Course: Jupyter and Anaconda | Intermediate | Python data tools · Jupyter notebooks · Anaconda | 2h 32m of video; practice time is additional |
| Free Simplilearn Course: Data Science with Python and R | Intermediate | Statistics · Feature Analysis · Data Projects | 253h 32m of video; practice time is additional |
| Free MIT Course: Computational Thinking and Data Science with Python | Intermediate | 1. Introduction, Optimization Problems · 4. Stochastic Thinking · 8. Sampling and Standard Error | 12h 9m of video; practice time is additional |
Provider: Microsoft. Videos play from the Microsoft Developer channel on YouTube.
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