2020-2021 Catalog

CS 251 Statistical Computing (QSR for select programs/NS)

This course is designed to provide the applied statistics useful for data exploration and analysis in data science and data mining with a statistical programming language. This course covers topics ranging from syntax basics of the chosen statistical programming language, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, the course will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA (ANOVA), non-parametric test, and linear regressions. 

Credits

5