This course walks through the essentials for getting started in R and R Studio, as well as four basic areas of using R for data science, including:

• Data Structures
• Data Wrangling
• Communicating Results
• Programming

Much of the material for this course was developed with reference to R for Data Science by Garrett Grolemund and Hadley Wickham. This free eBook covers many of the same topics in this course in more detail, and is worth a read if you want to learn more!

1. Install R from cran.r-project.org
2. Install RStudio from rstudio.com
3. That's it, you're all set!

If you already have RStudio and R installed

1. Launch RStudio and check the version of R currently installed (it should show up at launch in the Console tab)
2. Check if there is a newer version of R on cran.r-project.org and install if necessary
3. Verify that the latest version of RStudio is installed by going to Help > Check for Updates
4. In RStudio, go to Tools > Check for Package Updates and install any package updates
5. That's it, you're all set!

• View as a Presentation
• View as a Document

• Completely synthetic data designed to mimic the grades of 500 high school students from three different schools
• grade_level and age are assumed to be at the time of the last school year in the data-set
• There are separate variables for each subject and year of students' grades
• Used for problem sets at the end of each module
• View the R Markdown document for its creation, or download the latest release