Free Self-Paced Course

Data Visualization Python

11 Weeks · 275 Pages · Computer Science — Data Science & Visualization

This free, self-paced course provides a structured 11-week syllabus for learning Data Viz with Python. Each module builds on the previous one, guiding you from foundational concepts through advanced topics with 275 pages of in-depth reading material. All content is drawn from our comprehensive Data Viz with Python textbook, organized into a clear weekly schedule that you can follow at your own pace.

Modules

275

Pages

Self-Paced

Free

Always Free

Weekly Syllabus

1 Front Matter

2 Part I: Seeing Data --- The Science of Visual Perception

3 Part II: Design Principles --- From Data to Message

4 Part III: matplotlib --- The Foundation

5 Part IV: Seaborn --- Statistical Visualization

6 Part V: Interactive Visualization

7 Part VI: Specialized Domains

8 Part VII: Dashboards and Production

9 Part VIII: Capstone and Gallery

10 Appendices

11 Instructor Guide

How to Use This Syllabus

Read at your own pace. Each module is designed for roughly one week of study, but there are no deadlines. Spend as much time as you need on each topic.
Follow in order or jump around. The modules are arranged sequentially for a structured learning path, but feel free to skip to any topic that interests you most.
No sign-up needed. Every page in this syllabus links directly to free, open-access content. Just click a topic and start reading immediately.

Ready to Start Learning?

Access the full Data Viz with Python textbook with all chapters, examples, and exercises.

Open the Full Textbook