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Analytics inform the decision-making process, strategizing, and forecasting of modern American campaigns. This course focuses on the role that analytics play in campaigns and elections in America. Campaign strategists, policy analysts, and social scientists leverage data from voter rolls, consumption and public opinion polls to make better choices. This course surveys the theoretical and empirical literature in American electoral politics to examine how campaigns and political organizations are using field experiments, microtargeting, and public opinion polling to tackle the challenges of getting out the vote and increasing registration and voting rates. Other topics covered include voting behavior, public opinion, partisanship, and campaign finance. Students will gain a rich understanding of how analytics has become a key component of the electoral process. Students will also gain experience analyzing data through simulations and data analysis exercises. Prerequisites: 470.681, Introduction to Data Analytics and Policy; 470.768, Programming and Data Management; 470.673, Data Visualization; and 470.667, Machine Learning Methods and Applications OR 470.709, Quantitative Methods for Policy and Political Analysis (470.667 or 470.709 may be taken concurrently as a co-requisite).