Mastering JMP®
Intermediate
- Design of Experiments Designing Mixture Experiments - Part 2
- Data Visualization and Exploratory Data Analysis New in JMP® 14 and JMP® Pro 14
- Data Visualization and Exploratory Data Analysis New in JMP® 15 and JMP® Pro 15
- Data Visualization and Exploratory Data Analysis New in JMP® 16 and JMP Pro® 16
- Data Visualization and Exploratory Data Analysis New in JMP 17 and JMP Pro 17 - Some Highlights
- Data Visualization and Exploratory Data Analysis Unlocking the Power of Graph Builder
- Data Visualization and Exploratory Data Analysis Creating Custom Drill-Down Graphs to Enhance Interactive Reporting
- Design of Experiments Extracting Practical Information from Quality-by-Design Models
- Statistics, Predictive Modeling and Data Mining Discovering and Predicting Patterns Using Neural Network Models
- Statistics, Predictive Modeling and Data Mining Building and Comparing Predictive Models using JMP® Pro
- Application Development JSL for Building Interactive Dialogs for Automating Workflows
- Data Visualization and Exploratory Data Analysis Using Formulas to Get the Most from Your Data
- Statistics, Predictive Modeling and Data Mining Using Partial Least Squares: When Ordinary Least Squares Regression Just Won’t Work
- Statistics, Predictive Modeling and Data Mining Screening and Controlling Manufacturing Processes
- Statistics, Predictive Modeling and Data Mining Monitoring, Diagnosing and Improving Large-Scale Complex Processes
- Quality Engineering, Reliability and Six Sigma Analyzing Reliability for Repairable Systems
- Quality Engineering, Reliability and Six Sigma Analyzing Reliability for Non-Repairable Systems
- Statistics, Predictive Modeling and Data Mining Transforming Data to Make Better Predictions
- Design of Experiments Specialized Custom DOE for Experienced Experimenters
- Application Development Automating Analyses Using JMP® Scripts
Prerequisites to get the most from Mastering JMP:
- JMP® New User Welcome Kit
- Getting Started with JMP®
- JMP® DOE Intro Kit (for users designing experiments)