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Data Visualization, Analysis and Modeling with JMP Pro

August 15 @ 10:00 am - 12:00 pm

Modern Languages Building (MLB), Room 2001A

JMP is an easy-to-use, standalone statistics and graphics software from SAS Institute.  It includes comprehensive capabilities for every academic field, and its interactive point-and-click interface and linked analyses and graphics make it ideal for research and for use in statistics courses, from the introductory to the advanced levels.  JMP runs on Windows and Macintosh operating systems and also functions as an easy, point-and-click interface to SAS®, R, MATLAB and Excel.

Come and see how to use JMP for data visualization, analysis, and modeling with an emphasis on what’s new in our latest release, JMP 13.

Agenda: Data Visualization, Analysis and Modeling with JMP Pro

Session 1:  Getting Started with JMP

  • JMP basics:  Menus, help, navigation and the JMP interface
  • Data summary and graphics:  Dynamic graphing with Graph Builder, geographic mapping, the Data Filter, Tabulate, Bubble Plot, and Scatterplots
  • Basic data analysis using Distribution, Fit Y by X, and Fit Model
  • JMP tips and tricks:  Saving work, sharing your work, getting data into JMP
  • Integration with SAS, R, MATLAB and Excel
  • JMP Resources:  Learning Library, webinars, books with JMP, teaching modules, calculators
SAS/JMP is available to the University of Michigan community via a site license (details at the link below).  CSCAR provides SAS consulting support to UM researchers, see cscar.research.umich.edu for more information.”


Presenter: Mia Stephens                                                                                                                                                            JMP Academic Programs                                                                                                                                                 JMP Statistical Discovery Software


August 15
10:00 am - 12:00 pm
Event Category:


Class size
U-M Affiliated Fee
Mia Stephens, Mia Stephens JMP Academic Programs JMP Statistical Discovery Software