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Graham School of Management

SAS Workshops

As the market demand for professionals with data management, analytical and problem-solving skills increases, SAS seeks to provide university students with an analytical toolset that enables them to address modern, dataintensive business problems. To accomplish this goal, SAS holds workshops for professors who are bringing the power of analytics to the classroom at no charge. Saint Xavier University’s Graham School of Management proudly to hosted the SAS workshops at the GSM lab on September 10 and 11. James L. Harroun, Analytical Training Consultant, Global Academic Program of SAS Institute offered both workshops.

Workshop 1: Data Manipulation and Analytics Using SAS EG (GAAPGS)

September 10, 2015
10:00 a.m. - 4:30 p.m.

In this course attendees learned how to access their data, combine tables, compute new variables, explore data with simple statistics and graphs, and perform sophisticated statistical analysis with SAS Enterprise Guide. This course does not teach statistical concepts, but teaches how to use the tools in Enterprise Guide. This course is designed for users who are familiar with Windows and other software, such as Microsoft office or spreadsheet programs. No programming experience or SAS knowledge is required. Having completed an undergraduate course in statistics covering p-values, hypothesis testing, analysis of variance and regression is helpful, but not required.

Workshop 2: Statistical Analysis Using SAS Studio (GASTSTU)  

September 11, 2015
8:00 a.m. - 4:30 p.m.

Statistical Analysis Using SAS Studio offered an introduction to programming and performing statistical tasks in SAS Studio software. The course offered a tour of the SAS Studio interface as the student learns to create and submit SAS programs using the program editor. The course also taught how to import data from a variety of sources using pre-defined tasks that simplify the data import process. The course then moved into showing how users can easily perform data exploration and statistical analyses using point-and-click analytical tasks that streamline the analytical workflow. The course ended with a chapter on how to create custom code snippets and tasks that become integral components of the SAS Studio interface.

Registration and More Information

Registration has now closed.If you have any questions, please contact Nick Mancari, GSM program coordinator/project manager, at mancari@sxu.edu