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Introduction to Online Experimentation and A-B Testing

Data Science Dojo via YouTube

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Overview

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This course introduces best practices for designing and evaluating online A/B and multivariate tests. It covers choosing metrics, detecting errors, and interpreting results, with examples involving emails, newsletters, and online forms.

Syllabus

– Intro
– A/B testing
– Obama campaign
– A/B testing on emails and newsletters
– Online forms
– Why do we use A/B testing?
– A/B testing versus multivariate testing
– Control and treatment
– Metrics
– Hypothesis
– Confidence Intervals
– A/A testing
– Metrics
– Tools
– QnA

Taught by

Data Science Dojo

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