Free Self-Paced Course

Professional Basketball Analytics and Visualization

9 Weeks · 214 Pages · Mathematics — Statistics & Data Science

This free, self-paced course provides a structured 9-week syllabus for learning Basketball Analytics. Each module builds on the previous one, guiding you from foundational concepts through advanced topics with 214 pages of in-depth reading material. All content is drawn from our comprehensive Basketball Analytics textbook, organized into a clear weekly schedule that you can follow at your own pace.

Modules

214

Pages

Self-Paced

Free

Always Free

Weekly Syllabus

1 Front Matter

2 Part 1: Foundations of Basketball Analytics

3 Part 2: Traditional Basketball Metrics

4 Part 3: Modern Analytics

5 Part 4: Team and Game Analytics

6 Part 5: Predictive Modeling

7 Part 6: Advanced Topics and Applications

8 Part 7: Capstone Projects

9 Appendices

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 Basketball Analytics textbook with all chapters, examples, and exercises.

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