SAS is commercial software for statistical analysis, available through software.rutgers.edu and campus computing, and also free online via SAS OnDemand for Academics. At this time, there are no plans to continue to offer SAS workshops locally in New Brunswick Libraries. Resources are being devoted to more flexible and open source tools such as R and Python.
This page is being maintained as a basic guide to pointers on learning more about SAS (until July 2032).
Rutgers now has access to LinkedIn Learning, which has many modules on SAS. See
Use the two "PharmaDemo" files linked above and your account on SAS OnDemand for Academics to follow along.
This workshop provides an introduction to SAS, covering the basics of navigation, loading data, graphics, and elementary descriptive statistics and regression using a sample dataset.
SAS is a powerful and long-standing system that handles large data sets well, and is popular in the pharmaceutical industry and health sciences, among other applications.
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