Topics in Applied Data Analysis

3 credits · Undergraduate credit

This is a topics course that introduces students to data analytics and economic research using R, Stata, or other computer programs. Students first gain knowledge in the basics of R or other computer programs using real-world data, such as introduction to commands, data manipulation and cleaning, describing the data and preparing graphs. In the second part of the course, students gain practical experience in economic research by replicating research results from the textbook and journal articles. Topics discussed include replicating research using causal inference methods and basic machine learning techniques. This course will be held in a computer classroom.