Data Science for Applied Economics credit:

4 Hours

Students in this course will learn data science skills for questions in applied economics. Using the python programming language and git version control, we will cover obtaining data via scraping and APIs, processing and cleaning data using python, and analyzing data via data visualization and basic machine learning techniques. We will broadly cover the basics of text, spatial, and numeric data with an emphasis on their uses in analyzing economic questions and conducting research.