Data Analysis with R

Are you working with categorical data that doesn’t deal with numbers but still needs analysis? Learn how to organize it and recognize patterns in R by creating outcome/contingency tables and conducting chi-square tests.

Using inferential statistical methods, we will learn how to sample and test numerical data in R, including outlining hypothesis testing variables, processes, tests, and results.

Get started with text analysis in R. Learn how to preprocess your data and find word frequencies using for loops and functions in R.

Create data visualizations in R including scatterplots, bar graphs, and heat maps. Best practices for presenting your statistical data will also be discussed.

Learn how to get started with R in R Studio. We will learn how to navigate the interface, set up a data project, and get descriptive statistics about our data (including mean, median, mode, range, variance, standard deviation, and IQR).