Statistical Computing with R
In this course, we will learn the foundational skills for programming in R and a variety of skills for working with data.
Have you ever wondered…
…how are the visualizations you see in the media made?
…how do people cut down large datasets to address a specific question?
…how the applet simulations in your statistics classes work?
We’ll answer these questions and more by studying the principles of “statistical computing” methods in the programming language called R. There is not an expectation that you have seen R before, only that you have some experiences with computing (writing code and executing code). For those who have not seen R before, it is an open-source programming language developed by Statisticians, and is one of the main “languages” you will find people use when doing statistics in the wild.
In this course, we will learn the foundational skills for programming in R and a variety of skills for working with data. We will then build on these skills to consider how to write programs which are more efficient.
Teaching Team and Office Hours
Instructor: Dr. Judith Canner
Email: jcanner@csumb.edu
Office: Chapman Science Center, inside S216
Office Hours: Tuesdays, 1:00pm - 1:55pm
Classroom Learning Assistant: Noah Kan
Course Information
Chapman Science Center (53) S222
Tuesday 2:00pm - 3:50pm
Texts
The main text book is: R for Data Science by Wickham, Cetinkaya-Rundel, and Grolemund. The book is freely available online, but feel free to purchase a printed copy if you would like one!
Materials
This class is very hands on; be sure to bring a fully charged laptop to every class.
