A Udemy course covering the full A/B testing lifecycle — formulating hypotheses, calculating sample sizes, designing controlled experiments, collecting data without peeking, and interpreting results correctly. Rigorous and practical, a strong course for anyone who runs experiments and wants to trust their conclusions.
Good for: Running rigorous, trustworthy A/B tests.
Less suitable if: You want a quick overview or lack basic statistics.
This course covers the full A/B testing lifecycle: formulating hypotheses, calculating required sample sizes, designing controlled experiments, collecting data without peeking, and interpreting results with statistical rigor. Students learn the most common A/B testing mistakes — underpowered tests, multiple comparison problems, and novelty effects — and how to avoid them.
What you'll learn
Design A/B tests with proper hypothesis formulation and success metrics
Calculate statistically powered sample sizes before running experiments
Analyze results correctly while avoiding multiple comparison errors
Implement sequential testing to make faster experiment decisions
Apply Bayesian approaches to A/B testing for more intuitive inference
This course includes
5h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
Udemy lists a high price but the course is nearly always on sale for roughly $12–20 with lifetime access — wait for a discount rather than paying full price.
Comparison · LBS
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