In addition to learning data modeling and statistical inferences, students will learn to code in the software environment R to run the statistical tests and generate the graphics, which they will then interpret and contextualize. R is a statistical software platform that is commonly used in the social sciences and follows a similar programming language to Python. It gives the user the ability to craft the output that they want and manipulate it accordingly, making it a very helpful and commonly used tool in the sciences. Throughout the course, students will collect and organize data and then use R to create graphics, build models, and run statistical tests. Prerequisite: Algebra 2 and department approval.