MA 340 - Introduction to R Programming for Data Science and Statistics

Lecture Hours: 1
Lab Hours: 0
Credit Hours: 1

This 300-level course is an introduction to programming with R, a language for statistical computing and graphics. The topics covered include basic operations on vectors, matrices, and data frames. Students also learn how to use R functions for data analysis, like data manipulation, obtaining summary of data, data visualization, data cleansing, and fitting models. Prerequisite(s): MA 220 or PS 205