This course explores the applications of data science techniques in political science and public administration. Students will learn foundational tools, including data visualization, regression analysis, machine learning, and causal inference, to analyze and interpret complex political and administrative data. The course emphasizes practical, hands-on exercises using the R programming language, equipping students with the skills to apply data-driven approaches to real-world problems. By the end of the course, students will be able to leverage data science methods to address critical questions in politics and governance, making informed and analytically rigorous decisions.

CILO-1: Recognize the role of data science in political science and public administration. CILO-2: Analyze political and administrative data using the R programming language. CILO-3: Interpret statistical results and effectively communicate findings to diverse audiences. CILO-4: Produce professional, high-quality research reports and write-ups.