Introduction to Statistical Programming

Three credits · Undergraduate

This course will provide an application-driven introduction to data science. Students will be introduced to the required statistical and computational tools necessary for data science. By the end of this course, students will be equipped with all the knowledge required to perform analytical activities in R. Topics will include data visualization, data transformation, data wrangling, functional programming, and data modelling. Prerequisites: STAT 101, 224 or 231. Three credits.