Econometrics and Data Science

This course develops critical-thinking skills necessary to analyze and interpret real world data using modern data science and econometric methods. Students learn to be consumers and producers of empirical research in the sciences. Develop sophisticated understanding of both theoretical underpinnings and challenges in implementation of empirical methods to effectively evaluate quality of evidence and validity of causal inferences. Applications are primarily drawn from economic studies of individuals, firms and markets. Prerequisite: (ECON 21 and 22, ECON 23 and 24, ECON 101, ECON 101D, or ECON 201D) and (ECON 104D or STA 230/MATH 230, STA 231/MATH 340, or STA 432/MATH 343).