Data Science for Economists, 2025 Spring ECON 148 107 DIS 107

2025 Spring ECON 148 107 DIS 107

This course will give the undergraduate student the basic computational building blocks needed to be a good consumer and producer of applied economics work. Students will work to acquire data through APIs, access census data, or download from replication repositories. The course will cover wrangling data, working with incomplete or unstructured data, joining and merging data, exploratory data analysis and data visualization. The course will cover many aspects of preparing data for econometric analysis. Practices around literate code, open science tools, reproducibility, and data management will also be covered.

Course Times
Th 8:00am - 8:59am
Course Location
Evans 2
Course CCN
31292
Course Level
Undergraduate
Course Units
4
Section Type
Discussion
Course number
148
Instructors
Yuriy Gorodnichenko

Instructor(s)

Profile picture for user Yuriy Gorodnichenko
Quantedge Presidential Professor of Economics
Comparative EconomicsDevelopment EconomicsEconometricsInternational EconomicsMacroeconomics | Teaching