Advanced Consumer Analytics is a hands-on course designed to teach students how to leverage data analysis to drive consumer business decisions via the telling of a compelling, evidence-based story. The course is structured 1) to provide students with a core process by which data analysis can produce effective business actions, 2) to build students' analytical abilities to execute the process and 3) to establish a method by which analytical results can be communicated effectively. The process and methods studied in this course have applications across a broad range of careers.

This course is a graduate level research seminar in empirical household finance. The goal of the course is to introduce students to some of the modern econometric techniques commonly used in empirical household finance. The course is not an econometrics or statistics course per se; rather, the focus of the course is on the application of empirical research methods designed for observational data with an emphasis on causal inference.

The readings in this course draw predominantly from recent work in empirical household finance and will cover topics such as: consumer access to various forms of credit, the regulation of consumer financial products, and household consumption responses to income and expense shocks. The goals of the course are to help students develop the skills necessary to plan and execute their own empirical projects and to provide students with exposure to some of the types of empirical research done in household finance.