This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data scientists around the world. This course covers an introduction to R, from installation to basic statistical functions. You will learn to work with variable and external data sets, write functions, and hear from one of the co-creators of the R language, Robert Gentleman. Instructor: Susan Holmes, Professor of Statistics Core Competencies Working with data types and variables Vectors matrices lists and data frames Data import Logical statements: loops repeats and functions Data plotting and visualization Introduction to basic statistical functions and packages What You Need to Get Started Basic familiarity with computers and productivity software Helpful but not required: experience/background in a scientific or engineering discipline