Free Professor Workshops

Instruction and resources for teaching a SAS^® class.

Get help bringing the power of analytics to the classroom. SAS offers free workshops throughout the year designed to help you teach an undergraduate or graduate-level SAS class.

Why attend a SAS workshop?

Free training. Learn SAS – and learn how to teach it to your students. We offer workshops on a variety of topics, including advanced business analytics, data mining, multivariate analysis and more.
Free professional development. Our workshops, which are led by SAS professionals, are a great opportunity to sharpen your own analytics skills and get up to speed on the latest advances in analytics.
Free classroom materials. Workshop teaching materials are available at no cost for self-study or use in your classroom, even if you are unable to attend a workshop. Course packages include Microsoft PowerPoint slides, course notes and data sets.
Free curriculum assistance. The courses covered in our workshops are designed to be taught at both undergraduate and graduate levels, and are intended to encompass one semester of teaching, which is equivalent to four credit hours (three lecture hours per week plus a weekly lab).

What is included in a workshop?

Expert instruction on a variety of topics. Past workshops have included Advanced Business Analytics, Applied Mixed Models, Advanced Predictive Modeling Using SAS^® Enterprise Miner^™, Applied Analytics Using SAS Enterprise Miner, Data Manipulation and Analytics Using SAS^® Enterprise Guide^®, Introduction to SAS Visual Statistics, SAS Visual Analytics for Professors, Text Analytics Using SAS Text Miner, and Using SAS to Clean Big Data.
Free course materials. Complete course materials include Microsoft PowerPoint slides, course notes and data sets.
Continental breakfast and lunch.
Travel and accommodations are not included.

In preparing practicing statisticians for the workplace, we find that knowledge of SAS and experience using it in real-world consulting projects is a real advantage in their job hunt, as well as in their career. Alan Elliott Director, Statistical Consulting Center, Department of Statistical Science Southern Methodist University

Featured Course

Applied Analytics Using SAS^® Enterprise Miner^™

This course covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association and sequence analyses) and predictive modeling (decision trees, regression and neural network models). This course requires that you have at least an introductory-level familiarity with basic statistics and regression modeling. Previous SAS software experience is helpful but not required.

Learn more about this course