Quantitative Mthds for Sci Pol

3 Credits · Level: Graduate

This course would cover the basics of data collection/selection, database setup, quantitative analysis basics using Excel and R, and data visualization in Tableau to give students a broad base for policy analysis and development. Students will have the opportunity to work on a project of their choosing and can use the classwork to develop a proposal for their capstone. This course covers distribution, bayesian analysis, regression and multiple regression, chi-square, T-test, ANOVA, Pearson correlation, and more.