MATH 6450 - Applied Statistics & Regression

Credits: (3)
Typically Taught Spring Semester: Full Sem
Description: Students learn the knowledge and skills necessary for applied statistical analysis. These methods allow focus typically on a selection of advanced regression analysis, missing data, categorical data analysis, time series in relation to regression, colinear data, and model and variable selection. This course also focuses on Applied Statistics & Regression in the context of both a statistical and data scientist view point as this course is part of the Masters of Data Science.
Pre-requisite(s): Admission to the MSDS, permission of instructor, or one of following courses: MATH 3450 or MATH 3410 or MATH 4400 or CS 4580.