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Average Course Rating

This class applies data analytic skills to the civic context, analyzing problems and datasets involving urban issues and civic technology. Students will develop the statistical and computational skills to complete data-driven analytical projects using data from city agencies, federal census data, and other sources, including NGOs that work with cities and civic technology. We will examine a variety of data sets and research projects, both historical and contemporary, that examine civic technology and urban problems from a quantitative perspective. Prerequisites: 470.667, Machine Learning Methods and Applications OR 470.709, Quantitative Methods for Policy and Political Analysis OR 470.854, Fundamentals of Quantitative Methods (AS.470.667 or AS.470.709 may be taken concurrently).