With the rapid progress in statistical computing, proficiency in using statistical software such as R, SPSS, and SAS has become almost a universal requirement. The highly extensible R programming language offers a wide range of analytical and graphical capabilities ideal for manipulating large datasets.

This course integrates R programming, the logic and steps of statistical inference, and the process of empirical social science research in a highly accessible and structured fashion. It emphasizes learning to use R for essential data management, visualization, analysis, and replicating published research findings.

By the end of this course, you’ll be competent enough to use R to analyze data in social sciences to answer substantive research questions and reproduce the statistical analysis in published journal articles.