Section Description Provided by Instructor
The legal profession has seen a rapidly growing use of quantitative data. Law students enter a world of contemporary legal practice where empirical methods like predictive coding and statistical inference are commonplace. Public policy debates often rely on cutting-edge empirical methods that can be difficult for lawyers to understand.
The goal of this one-week course is to teach law students core topics typically covered in introductory courses on statistics, econometrics, and machine learning, with a focus on qualitative reasoning rather than mathematical derivations. To that end, the course requires no prior mathematical knowledge, and will introduce fundamental ideas in statistics and machine learning using applied examples.