Data Analysis With R

Catalog description

This course studies the analysis of complex data sets in the statistical programming language R. Topics include an introduction to programming in R, data cleaning, descriptive statistics and graphics, probability models, hypothesis testing, confidence intervals, linear and logistic regression, classification, and cluster analysis. Students will learn to communicate their statistical results by critiquing journal articles and producing their own written analyses. Required prerequisites: Math 231 or Math 241 or Math 251.