2. How long does the course take, and how is it structured?

Q: 2. How long does the course take, and how is it structured?

It's designed to be completed in 7 weeks , with roughly one module per week . Each module focuses on a core statistical concept: Descriptive Stats & Visualization, Sampling & Data, Probability, CLT & Sampling Distributions, Regression, Significance Testing, Resampling, and Multiple Comparisons. Your time commitment per week can vary—some platforms cite about 15 hours total , over 8 weeks. If you’re quick and motivated, you can finish faster—modules are unlocked and you learn at your own pace. Conversely, self-paced flexibility means you can slow down if needed, revisiting concepts until you're confident.

It’s designed to be completed in 7 weeks, with roughly one module per week.
Each module focuses on a core statistical concept: Descriptive Stats & Visualization, Sampling & Data, Probability, CLT & Sampling Distributions, Regression, Significance Testing, Resampling, and Multiple Comparisons.
Your time commitment per week can vary—some platforms cite about 15 hours total, over 8 weeks.
If you’re quick and motivated, you can finish faster—modules are unlocked and you learn at your own pace.
Conversely, self-paced flexibility means you can slow down if needed, revisiting concepts until you’re confident.