Econometrics and Data Science

ECON 204D

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.

Prerequisites

Prerequisite: ECON 201D and one of: ECON 104D, STA 230/MATH 230, STA 231/MATH 340, STA240L/MATH 228L, or STA 432/MATH 343. Reserved for first-years, sophomores, and juniors. Open to seniors by permission.

Curriculum Codes
  • R
  • QS
  • SS
Typically Offered
Fall and/or Spring