Applied Statistical Analysis in R for Engineers

Catalog description

Description: The overall goal of this course is to provide an applied overview to statistical learning for real industrial engineering problems using R programming. Topics In this course cover advanced linear and non-linear methods of statistical learning such as multivariate regression, mixed-effects regression, advanced logit regression, clustering methods, generalized additive models, tree-based methods, support vector machines. and Bayesian methods. May not be used for degree credit with IEM 5783 .