R for Data Science: Part 1

The R for Data Science workshop series is a four-part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying, analyzing, and publishing data in R.

Part 1: Basics of R

Students will understand the motivation behind object orientation, and how that relates to computation. Students will be able to perform basic functions in R necessary to use the software on their computers and conduct basic arithmetic. Students will understand what data types are, and why and how they are different from each other.

Knowledge requirements: Programming Fun!damentals, or equivalent prior knowledge

Registration note: To participate in multiple parts of this intensive, please be sure to register for each day separately. Links to the other R intensive workshops can be found below.

• R for Data Science: Part 2
• R for Data Science: Part 3
• R for Data Science: Part 4