ECON 370
Data Science for Economic Analysis Fall 2024
Division II

Class Details

This course provides a hands-on introduction to data science tools most relevant for economic analysis including data visualization, machine learning, and text analysis. Economists and other social scientists tend to use these data science tools differently than many researchers in statistics and computer science – conducting empirical analysis that is explicitly grounded in economic theory, and focusing on causal inference rather than prediction. Through a combination of lectures, hands-on labs, and group projects, students will develop the theoretical and practical skills needed to analyze economic data using modern data science techniques in both R and Python.
The Class: Format: lecture; The course includes traditional lectures, interactive labs in R and Python, and in-class presentations by students. Prior experience with statistical software (Stata or R) or computer programming is required.
Limit: 25
Expected: 25
Class#: 1889
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: Grades are based on class participation, empirical exercises in R and Python, class presentations, and one exam.
Prerequisites: ECON 255 or or STAT 346
Enrollment Preferences: Economics majors
Distributions: Division II

Class Grid

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