This course empowers you to apply program evaluation to your data science projects. Learn the best practices of some of the main methods for program evaluation including A/B testing, difference-in-difference, regression discontinuity, interrupted time series, and matching problems. As part of these best practices, learn how to identify when A/B testing is not sufficient or possible and then apply your knowledge to determine if programs had an impact across a large variety of examples that leverage different methods.
This course includes AI-powered Role Play. Role Play allows you to practice what you’ve learned in interactive simulations of real-world conversations.
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