We will explore how data are used in the criminal justice system by exploring the debates surrounding mass incarceration and evaluating a number of different data sources that bear on police practices, incarceration, and criminal justice reform. Students will be required to think critically about the debates regarding criminal justice in the US and to work with various public data sets to assess the extent to which these data confirm or deny specific policy narratives. Building on skills from Foundations of Data Science, students will be required to use basic data management skills working in Python: data cleaning, aggregation, merging and appending data sets, collapsing variables, summarizing findings, and presenting data visualizations.