Introduction to R and Hypotheses Testing
Submitted by Olivia Woodrow
- 30 July 2024
Virtual 20-Hour Workshop
Dates: August 6 - 8, 13 - 15 & 20
Time: 9PM - 12AM US Eastern Time
This is an introductory course that provides hands-on experience in learning R, an interactive environment for statistical computing. R is a free, open-source software that can carry out advanced statistical analysis. The course will cover R syntax and commands, its basic functions, data cleaning, descriptive statistics, hypothesis testing (t-test, chi-square, ANOVA & Regression), and data visualization.
Facilitated by: Dr. Janaka Kosgolla, University of Illinois
Limited spots available
Links