Not Many Spots Left to Attend Conference »
 If you want to go to Discovery Summit and see John Sall's JMP 11 talk in person, you should know that only 30 spots remain to attend the conference. So what are you waiting for? You'll see how other JMP users are beating challenges with the software, meet one-on-one with developers and hear incredible thought leaders like statistical superstar Nate Silver. If you need help justifying your trip to your boss, we've even put together resources to help you make your case. Join us Sept. 9-12 in San Antonio, Texas.
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Have you tried... »
... holding down the "Alt" key while clicking the red triangle menu to open a dialog box with all of the options listed in the red triangle menu? This is useful if you want to select more than one option in the menu or view all of the options (even those nested in a second level in a secondary menu). You can use this "Alt" trick on any red triangle menu anywhere in JMP.
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Learn More »
Working with Data: Making Hard Things Easy
10 a.m. ET (7 a.m. PT)
Sept. 10, featuring John Sall
Getting Started with JMP®
1 p.m. ET (10 a.m. PT)
Aug. 9, 16, 23
Sept. 6, 20
Mastering JMP®
2 p.m. ET (11 a.m. PT)
Aug. 9, 15, 16, 23, 30
Sept. 5, 6, 19, 20
Analytically Speaking
1 p.m. ET (10 a.m. PT)
Aug. 28, featuring Brian Corcoran, Chris Gotwalt and Xan Gregg of JMP
Sept. 18, featuring Roger Hoerl and Ronald Snee
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Learn More »
Exploring Best Practice in Design of Experiments
Sept. 19, featuring Bradley Jones and Peter Goos
Marlow, UK
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Watch JMP creator John Sall and leaders of his software development team as they broadcast live from Discovery Summit 2013 and show how JMP 11 makes hard things easy. As Sall himself put it: "One of the joys of new versions of software is that a number of things that used to be hard all of a sudden become easy. Several steps melt into one step. Stop and start becomes flow. Analyses that used to have flaws are strengthened. Things that used to look ugly become more beautiful. We can resolve the violation of the Anna Karenina Principle that plagues our p-values now as well as protect us from false discoveries. We can put to use data that isn't there. We can wrap our models in elastic to control their wavering ways. We can throw curves into models. We can fill factor rooms even when they have crazy corners. There is no paradise in our field, but at least we can make things work bunches better each release."
