STAT 456 - Advanced Data Science in R

This capstone course will expand on R skills you learned in STAT 112 and STAT 253 and will also emphasize presenting results and conclusions clearly. Topics will include advanced data wrangling techniques; machine learning methods like gradient boosting, deep learning, and stacked models; machine learning tools such as tidymodels and h20; interpretable machine learning methods; interactive web apps with shiny; and websites with blogdown. Guest speakers who work in the industry will be a regular occurence. Students will play an active role in the class by creating and presenting some of the course content. Prerequisite(s): STAT 112 and STAT 253 Occasionally. (4 Credits)