Course Description
This course (INF2215H – Data-driven Policymaking) explores the integration of data analytics into the formulation, implementation, and evaluation of public policies. The course examines key concepts in data science, statistical modeling, and machine learning, and how these tools can be leveraged to inform decision-making processes in the government and public sector. Students will learn how to analyze large datasets, interpret trends, and apply evidence-based methods to solve complex societal challenges, such as child welfare, healthcare access, immigration, and housing. The course also addresses ethical considerations, data privacy, and the challenges of translating quantitative insights into actionable policy recommendations. Through case studies and hands-on projects, students will develop the skills necessary to navigate the intersection of data, technology, and public administration.
Recommended Preparation: INF1344H / basic statistics competency at the level of INF1344H