The SAS/JMP Fall Academic Webinar Series includes 17 free webcasts that will inspire you to use JMP statistical data analysis software in new ways. Register now for free. You will learn how to explore and visualize data. Other skills you learn include how to build and deploy predictive models, and how to use JMP for ANOVA and regression.
This Fall Webinar Series welcomes Dr. Robert Carver. He will give a guest presentation. His topic is on using JMP effectively to prepare data for analysis. Join this guest webinar. You will be entered in a drawing to receive a free copy of Dr. Carver’s new book, Preparing Data for Analysis in JMP.
Register and mark your calendar! Fall webcasts include:
Sept 20th at 11am ET: Teaching Introductory Statistics
Sept 26th at 10am ET: JMP Basics for Professors and Students
Oct 5th at 2pm ET: Data Summary and Analysis
Oct 11th at 12PM ET: Teaching Engineering Statistics
Oct 24th at 11am ET: Teaching ANOVA and Regression
Oct 26th at 12pm ET: JMP Integration with SAS, R, Matlab…
Oct 31st at 11am ET: Preparing Data for Analysis with JMP (Guest Speaker)
Nov 2nd 10am ET: JMP Basics for Professors and Students
Nov 7th at 12pm ET: Teaching Basic Predictive Modeling
Nov 9th at 12pm ET: Teaching Advanced Predictive Modeling
Nov 13th at 11am ET: Data Summary and Analysis
Nov 14th at 10am ET: Teaching Design of Experiments
Nov 20th at 12pm ET: Scientific Workflow in JMP: Creating Reproducible Analyses
Nov 28th at 10am ET: Visualization and Graphics
Dec 6th at 12pm ET: Multivariate Analysis and Advanced Visualization
Dev 12th at 12pm ET: Teaching Statistics in the Health and Life Sciences
Who should participate?
Any student, graduate student, or professor looking to enhance their analytics capabilities–no matter which country you’re based in.
What can I expect from a JMP data analysis webcast?
You’ll learn how to get the most out of JMP. You’ll also see how various features can make data analysis easier, faster and more fruitful overall.
For additional webinar details, click here.
Can”t make it to a webcast? Please visit the JMP/SAS Academic Webinar Library for recorded versions of webinars: