This course revolves around qualitative topics and quantitative methods in data science for finance and economics. We discuss linear models and inference, sources of bias, databases and data validation, scraping, clustering, and text analysis. A special emphasis is placed on developing a robust understanding of the strengths and weaknesses of social science research methods. The class also introduces students to the Python programming language and its ecosystem of packages.