Statistical Thinking for A/B Testing

Master Hypothesis Testing, p-Values, Confidence Intervals & Experiment Design Through Real Business Cases

Turn A/B testing from a confusing spreadsheet exercise into a defensible business decision.

Statistical Thinking for A/B Testing is a case-based practical course that teaches statistical experimentation through realistic product and marketing scenarios — including pricing pages, checkout buttons, homepage headlines, email subject lines, and onboarding funnels.

Rather than starting with abstract mathematical examples, every major concept is introduced through a real-world experiment and connected directly to the decision a business needs to make.

You’ll learn not only how to calculate statistical results, but also how to determine when a test is trustworthy, when a result is inconclusive, and when a statistically significant result actually matters to the business.