|Fall Term 2021 Statistics for Data Science - 5039 - STAT 255
Prerequisites/Notes: STAT 107, BIOL 170, or MATH 140, or instructor permission
Catalog Description : This course introduces modern statistical techniques in the context of predictive inference and modeling. Topics will include data analysis techniques such as linear and logistic regression, ANOVA, nonparametric methods, and computational approaches such as cross-validation and bootstrapping. Statistical software will be used frequently. This class will involve regular in-class and out-of-class assignments as well as exams and quizzes.
Attributes: Quantitative Analy GER (01cr), BM Natural Science (01cr), Foundation/Gateway Course, In Person Delivery