This course introduces students to both classical and frontier research on social and economic inequalities. By analyzing data from the Current Population Survey (CPS) and National Longitudinal Surveys of Youth (NLSY), we investigate educational inequality, labor market inequality, and intergenerational mobility in the United States. In the context of these topics, students will build skills in data analysis and data visualization in R and learn a variety of quantitative methods including regression, causal inference, and machine learning. We use DataCamp, an intuitive and interactive online platform, to learn programming in R.