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 the most commonly-used (roughly 100) functions and operators from the R Base Package, which serves as the fundamental tools for accessing data from multiple sources, manipulating different types of R objects, performing character manipulation, and generating reports.  Furthermore, you will also learn how to write your own functions by using different types of control structures.

Course Highlights:

• R objects: Vectors, matrices, arrays, lists, and data frame
• Subsetting objects
• Data manipulations and aggregation
• Writing user-defined functions
• Character manipulations

Course Learning Outcomes:

• Understand essential R functions from the Base R package
• Write R programs
• Manipulating different data types
• Implement newly gained statistical skills in academic research
• Develop programming skills used across different types of industries

Prerequisites: This course assumes that prospective students have no prior knowledge of R. While having some general programming experience may be beneficial to learning another, it is not a requirement for this course.

Software: R, a free software environment for statistical computing and graphics, is used for this course.

Textbook: Course notes are available to download for free for registered students.

Course typically offered: Online, every quarter

Next Steps: Upon completion of this class, consider enrolling in other required coursework in the R for Data Analytics specialized certificate program

More Information: For more information about this course, please contact unex-techdata@ucsd.edu