This course covers advanced methods in applied statistics, beyond those of MATH 260. The analyses will be conducted using R, so students entering the course should already have a working knowledge of R. Topics may include generalized linear models, Bayesian statistics, time series analysis, categorical data analysis, and/or statistical graphics.
Natural Scientific and Mathematical Perspectives
Prerequisites
MATH 260 with a grade of C- or higher, the equivalent, or permission of the instructor.
Course UID
002012.1
Course Subject
Catalog Number
360
Long title
Advanced Applied Statistics