Set up valid, trustworthy A/B tests.
Interpret significance the right way.
Replace opinions with real data.
A/B Testing & Experimentation teaches the science of learning what actually works. You'll master experiment design — hypotheses, sample size and control — and the statistical analysis behind valid results, including significance, p-values and common pitfalls. Practised with Python on real scenarios, it's the exact method data-driven product and marketing teams use to decide.
Basic stats & Python! Some statistics and light Python help. Ideal for analysts, product and marketing professionals.
Earn the "Experimentation Analyst" badge upon completing all modules and the hands-on final assessment.
Verifiable CredentialCausation, correlation and the value of testing.
Hypotheses, metrics, control and sample size.
Significance, confidence and interpretation.
Peeking, multiple testing and segmentation.
Run and report a real experiment.
Design and analyse valid experiments.
Drive product decisions with data.
Test and optimise campaigns rigorously.
Add causal, experimental thinking.
Some basic statistics helps, but we teach the concepts you need intuitively. Light Python is used for analysis; both are reinforced as we go.
A laptop; we use free tools — Python and Jupyter/Colab. Set-up help is provided for online learners.
To receive the Edmire Experimentation Analyst Certificate, complete all 5 modules and the capstone — design and analysis of a real A/B test. Resubmission is free if needed.
Product managers, marketers, analysts and data scientists — anyone who wants to make decisions based on evidence rather than opinion.
Classroom training at our Dubai centre, live online instructor-led classes, or custom in-house delivery — with all materials yours to keep.
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