New York University 4 credits Politics
The course prepares students to (1) conduct original quantitative political science research in preparation for thesis, seminar, or honors projects in subsequent semesters and to (2) take higher-level data analysis courses such as causal inference or courses in data science. Topics include reproducible statistical programming, data visualization, univariate and multivariate data analysis, regression, addressing confounding, and sample-theoretic statistical inference. The course is hands-on and involves frequent quantitative inference and statistical programming activities both in class and as homework assignments. Assignments will require that students demonstrate both conceptual/mathematical understanding and the ability to conduct reproducible data analyses. Prerequisites: POL-UA 850 Introduction to Research Methods for Politics.
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