This 2-credit course, offered in Fall 2020, will introduce students to R, a versatile open-source language and environment for statistical computing and data science.
R is widely used for data analysis and visualization by statisticians and data scientists. Besides providing the ability to perform basic statistical tests and graphs, it gives the user access to cutting-edge statistical and graphical techniques via add-on packages. It is available free of charge on almost all operating systems.
This course is an introduction to R programming and data analysis. Students will be able to:
- Understand R language syntax and data structures
- Read data into R from text files and spreadsheets
- Produce tables and figures using R
- Write functions to perform repetitive tasks
- Write code to perform simulation studies
- Use R for simple tests and linear regression
- Generate data analysis reports using R and Markdown
Students should have knowledge of elementary biostatistics (BIOE 811 or BIOE 845 or equivalent).
Course director: Saunak Sen, PhD, Professor of Biostatistics, Department of Preventive Medicine (firstname.lastname@example.org)
- UTHSC students enrolled in degree-granting programs register on Banner directly: https://uthsc.edu/banner/info/.
- Non-degree students should contact Elizabeth Webb: email@example.com and complete this form: https://www.uthsc.edu/registrar/documents/non-degree-form.pdf. Registration has to be initiated by the College of Graduate Health Sciences.