JMP Software: Modeling Multidimensional Data
This course is for JMP users who need to build descriptive and predictive models between sets of multidimensional data. The course demonstrates various ways of performing supervised learning where the relationships among both the output variables and the input variables are considered in building these models. Strong emphasis is on understanding the results of the analysis and presenting your conclusions with graphs.Learn how to
Who should attendIndividuals who work with high dimensional data and have a need to build models to predict response outcome(s) or group assignments
Before attending this course, you should complete the JMP Software: Statistical Decisions Using ANOVA and Regression course. Completing the JMP Software: Analyzing Multidimensional Data course would be helpful, but it is not necessary.
This course addresses JMP software.
Introduction to Multivariate Data