STAT 453 - Statistical Learning & Data Science I

3 credits (Hrs: 3 Lec.)

This course introduces you to statistical learning, model accuracy, simple and multiple linear regression, classification, logistic regression, discriminant analysis, Bayes’ Theorem for classification, and resampling methods, such as crossvalidation and the bootstrap. In this course, you are also introduced to the popular statistical software package R which can be downloaded off the web free of charge.

Pre-requisite: STAT 332 and STAT 432