Learn how to build custom Python data connectors and further customize JMP’s Data Connector Framework with the Python Data Connector Demo, available now in the JMP Marketplace!
See how to create experiments to support product design and ID useful product features. Register for June 12 webinar, 2pm US Eastern Time.
Multivariate statistical methods are taught across a range of disciplines, from chemistry to psychology and more. JMP makes many basic-to-advanced multivariate methods accessible to students through its interactive, no-code interface. This webinar is the second in a two-part series on teaching multivariate methods in JMP. It demonstrates tools for principal components analysis, exploratory and confirmatory factor analysis, and structural equation modeling. (Part 1 covers data exploration, MANOVA, and partial least squares.) We also highlight sample data sets and other resources for using these tools in the classroom.