The Comprehensive Statistics and Data Science with R Course

Learn how to use R for data science tasks, all about R data structures, functions and visualizations, and statistics.

Created by: Geoffrey Hubona, Ph.D.
Associate Professor of MIS and Data Analytics

What Will I Learn?

• Students will understand what R is, and how to input and output data files into their R sessions.
• Students will know how to manipulate numbers and vectors, and will understand objects and classes.
• Students will understand how to create data structures in R: vectors; arrays and matrices; lists and data frames.
• Students will know how to use R as a statistical environment following many examples.
• Students will understand how to create, estimate and interpret ANOVA, regression, GLM and GAM statistical models with many examples of each.
• Students will learn how to create statistical and other visualizations using both the base and ggplot graphics capabilities in R.

Requirements

• Students must install R and RStudio (free software) but ample instructions are provided.

Target audience

• This course will benefit anyone wishing to learn R and especially those who seek an in-depth "hands-on" tutorial on performing statistical analyses with R.
• The course is useful for graduate students, college and university faculty, and working quantitative analysis professionals.