Data Driven Dec-Making

(2 Credits)

This class uses a blend of academic papers and real-world cases, together with data work in and out of class, to learn how to think as an applied social scientist. This is a skillset that will be valuable to you throughout your career. Business managers, policymakers and strategists are typically interested in understanding causal mechanisms, but often can only observe correlations. In this class, we will discuss ways to disentangle correlation from causation, including the use of advanced econometric techniques and experimental design.