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A/B testing and online experiments: Data Science course | Zoonk

24. A/B testing and online experiments

Covers online experiments, treatment assignment, guardrail metrics, sample size, peeking risks, and rollout decisions. Learners plan and analyze an A/B test for a product or service change.

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