Econometrics and Data Science

Description from DukeHub

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.

Skills

• data and statisticsdescription: "data science" and 3 more

AI-resilient: 0 of 5 0/5

• No: Physical, lab or field work
• No: Live work with people
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

More in ECON

• Economic Principles ECON 101CCD
• Statistical Foundations of Econometrics and Data Science ECON 104D
• Uncertainty, Risk, and Society ECON 140CN
• Financial Accounting ECON 174
• Intermediate Microeconomics I ECON 201D
• Intermediate Macroeconomics ECON 210D

All ECON courses · All of Undergraduate