Introduction to R: software for statistical computing

SPH BS 730

Graduate Prerequisites: (SPHPH717 OR SPHBS704 OR SPHBS700 OR SPHBS800) or consent of instructor. - Students will learn how to conduct statistical analysis using the public domain and free statistical software, R. Many public, private, and international organizations use R to conduct analysis, thus experience with R is a great skill to add to one's credentials. R offers flexibility, ranging from ease of writing code for simple tasks (e.g. using R as a calculator) to implementing complex analyses using cutting-edge statistical methods and models. Additionally, the R language provides a rich environment for working with data, especially for statistical modeling, graphics, and data visualization. This course will emphasize data manipulation and basic statistical analysis including exploratory data analysis, classical statistical tests, categorical data analysis, and regression. Students will be able to identify appropriate statistical methods for the data or problems and conduct their own analysis using the R environment. This hands-on and project-based course will enable students to develop skills to solve statistical problems using R. R can be used as an alternative or in addition to SAS (BS723). R is compatible with Apple OS, Windows, and Unix environments.

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A1 Cheng INS 1110 F 2:00 pm-4:50 pm Cannot take SPHBS 730 and SPHBS723 (or SPHPH760) both for credit.

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.