Applied Statistics

Catalog description

This course builds on the Elementary Statistics course enabling students to do more complex data analysis and interpretation of results using tools that are common in Data Science. Topics may include: Simple Regression, Multiple Regression, Logistic Regression, One-Way and Two-Way Analysis of Variance, and Bootstrap Methods. A software package such as R will be used extensively.