Data Science and Government Affairs

Catalog description

Trains students to think critically about data, the patterns they reveal, and when such patterns are most likely to depict causal effects. Explores relationships between variables and how/why data can be misunderstood. As an applied course, offers students the opportunity to develop a working knowledge of programming in R that will lend itself to a variety of quantitative/computational tasks. Focuses on select forms of data processing and analysis relevant to studying government, politics, and policy.