Data Science and Experimentation for Decision Making

Catalog description

In this course we will discuss statistical and econometric methods for assisting in decision making. We will discuss experimental designs, ranging from classical A/B tests to modern designs in use at leading tech companies. We will also discuss methods for observational studies, and how one can ensure that the results based on such studies lead to credible decision making. The methods will draw on the econometric literature as well as the modern machine learning literature. Students will be asked to analyze data and prepare reports and presentations based on them.