Introduction to R Programming

Statistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of addressing almost every statistical inference problem. In this course, you will learn to create R programs that access data from multiple sources, including flat files, spreadsheets, and relational databases. Also covered is the complete foundational skill set for R programming, including matrix operations, conditional and repetitive execution, functions, and graphical output. Lastly, a sampling of statistical problems and their implementations in R will be introduced.

Note: Knowledge of basic programming is recommended.

Course Number: CSE-41097   Credit: 3 units

This course is part of the following Certificate Program(s):

• Biostatistics

• Data Mining