JMP: Integration with Python & R
Ended Feb 3, 2026
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Full course description
Term: Spring 2026
Date: February 3rd, 2026
Time: 11:00 a.m. to 12:00 p.m.
Location: Hutcheson Hall Room 418A
Instructors: Stephanie DeHart, PhD & Kate Miller, MS
Presented By: This course is jointly sponsored by the Statistical Application and Innovations Group (SAIG) and Technology-enhanced Learning & Online Strategies (TLOS)
Description:
Since 1989, JMP has combined interactive data visualization with powerful statistics to help people see their data more clearly. And when data is better understood, insight-driven improvements are sure to follow. We've seen scientists, engineers, and researchers use JMP software to advance green-energy technologies, speed cancer therapies to market, and build high performance probes that traverse the vastness of deep space. It's spelled J-M -P but pronounced 'jump,' suggesting a leap in interactivity and innovation. JMP is a SAS company.