Urban analytics draws upon statistics, visualization, and computation to better understand and ultimately to shape cities. This course emphasizes geospatial data, familiarizes students with statistical computing using R, and introduces principles and techniques of machine learning. Students will also learn to explain and to critique the results of visualization, analysis, and predictive modeling. Graduate course will have additional requirements.