Urban Data Analytics

This advanced course provides the quantitative and computational skills necessary to leverage the massive datasets increasingly available in urban environments for planning and policy analysis. Participants will learn methods for data wrangling, statistical analysis, visualization, and predictive modeling using common data science tools. The curriculum emphasizes the application of analytics to real-world urban challenges, such as housing affordability, traffic congestion, and service delivery optimization. The focus is on moving beyond basic reporting to extracting actionable insights and ethical, evidence-based policy recommendations from complex urban data.