ACES: Introduction to Data Science in R
Overview
Instructor(s): Dr. Wesley Brashear
Time: Tuesday, October 28, 2025 — 10:00AM-4:00PM CT (with a one hour lunch break)
Location: Online using Zoom
Prerequisite(s): Current ACCESS ID, basic Linux/Unix skills
This course is an introduction to the R programming language and covers the fundamental concepts needed to operate in the R environment. Students are not required to have any prior experience with R.
Tutorial material may be followed independently by following instructions in the course materials linked below.
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Course Materials
Participation
During the training, attendees are expected to log in to an HPRC cluster using their own computer and complete the instructor-led examples and exercises.
Learning Objectives and Agenda
In this course, participants will:
- Learn about R data structures frequently used in the data sciences
- Learn how to manipulate data frames and tibbles using the R tidy package
- Learn how import data from Excel and csv style spreadsheets
- Learn how to conduct Principal Component Analysis in R
- Learn how to conduct regression analyses in R
- Learn how to plot data using the ggplot2 package
This course focuses, among others, on the following topics:
- Data types
- Built-in functions
- Data structures
- Plotting