Short Courses and Tutorials
The Data Science and Analytics team offers the following self-paced online study guides introducing the basics of our supported statistical packages.
These study guides were initially short courses offered in a classroom twice per semester, however, they have been migrated to the online format to reach a wider audience and allow self-paced learning.
These pages were designed to show how a particular software package can be used, e.g., R, SPSS, SAS; they are not designed to teach statistics or how to interpret statistics – although some interpretation is offered among the many pages.
Note that these short courses are introductions for the uninitiated. If you already have notable experience with a package, you will likely not find the class offers much more than you already know. We also are available – with adequate planning – to work out presentations tailored more to your research group's needs.
Please contact a member of the DSA staff for more information.
- R: Introduction to R
- S-PLUS S-Plus short course
- SAS: Introduction to SAS
- SPSS: Introduction to SPSS
- Computer Tools*
- Introduction to Stata*
- Survey Technologies*
- LaTEX for Beginners - A Brief Introduction
- Installing LaTeX and LaTeX2HTML
*Course pages may be undergoing change or updating.
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