Projects

Introduction to R for Statistical Learning
A self-paced online course introducing the basis of R. Topics included data structure basics, loops, data visualization, and a gentle introduction to the tidyverse.
Introduction to R for Statistical Learning
STAT 3500
A continuation of the material from STAT 2500. Topics include ANOVA and regression. Students learn how to implement those ideas in both Excel and R. This class was instructed both in person and as an online course.
STAT 3500
STAT 2500
The course is primarily for students of the College of Business. Topics included descriptive statistics, random variables, confidence intervals, and hypothesis tests.
STAT 2500