Free Self-Paced Course

Introductory Statistics: Making Sense of Data in the Age of AI

11 Weeks · 226 Sections · Mathematics — Statistics

This free, self-paced course provides a structured 11-week syllabus for learning Introductory Statistics. Each module builds on the previous one, guiding you from foundational concepts through advanced topics with 226 pages of in-depth reading material. All content is drawn from our comprehensive Introductory Statistics textbook, organized into a clear weekly schedule that you can follow at your own pace.

Modules

226

Sections

Self-Paced

Free

Always Free

Weekly Syllabus

1 Front Matter

2 Part I: Part 1: Getting Started

3 Part II: Part 2: Exploring Data

4 Part III: Part 3: Probability

5 Part IV: Part 4: The Bridge to Inference

6 Part V: Part 5: Inference in Practice

7 Part VI: Part 6: Beyond Two Groups

8 Part VII: Part 7: Relationships and Prediction

9 Part VIII: Part 8: Statistics in the Modern World

10 Part IX: Part 9: Capstone Projects

11 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 Introductory Statistics textbook with all chapters, examples, and exercises.

Open the Full Textbook