STS 3270 Statistical Computing for Data Management

An intermediary course in statistical computing using SAS software. This course emphasizes issues uploading messy data, data management, macro writing, and analysis using SAS software. Topics include using SAS software to read in large data, sub-setting data, merging data sets, graphical descriptive statistics, numerical descriptive statistics, and SAS macro programming.

Credits

4 sh

Prerequisite

STS 2120 or permission of the Statistics Program Coordinator

Course Types

Advanced Studies

Offered

• Fall
• Winter

Notes

This course is offered in Winter of odd-numbered years and Fall of odd-numbered years.

Course Outcomes

1. Statistics promotes quantitative critical thinking skills that should serve the student in the rest of their course of studies at Elon. Specific outcomes that should prove valuable include the ability to:
   • Program in SAS proficiently.
   • Create and manage (small and large) data sets using computer software.
   • Generate appropriate and meaningful data sets and summaries of data.
   • Understand the syntax in order to perform data management.
   • Utilize macro coding in SAS to improve efficiency.
   • Identify and correct errors in syntax.