AMS204: Introduction to Statistical Data Analysis

Presents tools for exploratory data analysis (EDA) and statistical modeling in R. Topics include numerical and graphical tools for EDA, linear and logistic regression, ANOVA, PCA, and tools for acquiring and storing large data. No R knowledge is required. Enrollment is restricted to graduate students.

5 credits

Year	Fall	Winter	Spring	Summer

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.