This 1 credit course, offered in Fall 2018, will introduce students to R, a versatile open-source language and environment for statistical computing.
R is widely used for data analysis and visualzation 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 a gentle introduction to basic R programming and data analysis. Students will be able to:
- Generate summary statistics (mean, median, inter-quartile range)
- Visualize data (scatterplots, histograms)
- Read, write, and manipulate data
- Perform basic statistical tests (t-test, ANOVA)
- Perform linear regression analysis
- Generate automated data analysis reports
Students should have knowledge of elementary biostatistics (BIOE 811 or BIOE 845 or equivalent) and are expected to bring their own laptop computer to class.
Course director: Saunak Sen, PhD, Professor of Biostatistics, Department of Preventive Medicine (firstname.lastname@example.org)
Time: Thursdays, 11:00-12:00
Place: 66 N Pauline (Doctors Building), Room 402
- 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. The deadline is 29 June 2018.