Teaching Data Science with SAS® University Edition and JupyterLab

Tuesday, November 26th, 20192:00 pm – 2:30 pm ET

Presented by: Brian Gaines (SAS)


One of the interfaces that SAS® University Edition includes is the popular JupyterLab interface. You can use this open-source interface to generate dynamic notebooks that easily incorporate SAS® code and results into documents such as course materials and analytical reports. The ability to seamlessly interweave code, results, narrative text, and mathematical formulas all into one document provides students with practical experience in creating reports and effectively communicating results. In addition, the use of an executable document facilitates collaboration and promotes reproducible research and analyses. After a brief overview of SAS University Edition, this paper describes JupyterLab, discusses examples of using it to learn data science with SAS, and provides tips. SAS University Edition, which is available at no charge to educators and learners for academic, noncommercial use, includes SAS® Studio, Base SAS®, SAS/STAT®, and SAS/IML® software and some other analytical capabilities.

Sponsored by SAS Global Academic Programs