Mastering JMP®
Statistics, Predictive Modeling and Data Mining
- Basic Creating Summary Tables using Tabulate
- Basic Producing and Interpreting Basic Statistics Using JMP®
- Basic Basic Analysis and Plotting
- Basic Data Mining and Predictive Modeling
- Basic Statistically Analysing and Modelling Your Data
- Basic Fitting Curves to Non-Linear Data
- Basic Using Prediction Profiling to Maximize Model Proficiency
- Basic Understanding and Modeling Response Curves
- Basic Using Multivariate Methods to Explore Data
- Basic Using Structural Equation Models to Uncover Relationships between Observed and Latent Variables
- Intermediate Discovering and Predicting Patterns Using Neural Network Models
- Intermediate Building and Comparing Predictive Models using JMP® Pro
- Intermediate Using Partial Least Squares: When Ordinary Least Squares Regression Just Won’t Work
- Intermediate Screening and Controlling Manufacturing Processes
- Intermediate Monitoring, Diagnosing and Improving Large-Scale Complex Processes
- Intermediate Transforming Data to Make Better Predictions
- Advanced Understanding the Principles for Building Predictive Models
- Advanced Building Better Predictive Models Part 2: Implementing Models using JMP® and JMP® Pro
- Advanced Building Predictive Models for Situations Where You Have Correlated and High-Dimensional Data
- Advanced Building Linear Mixed Models Using JMP® Pro
- Advanced Time Series Forecasting
- Advanced Building Predictive Models for Spectral Data
- Advanced Developer Tutorial: Building Structural Equation Models in JMP Pro
- Advanced Developer Tutorials: Using Generalized Linear Mixed Models to Model Experimental Designs that include Non-Gaussian Responses and Random Effects
- Advanced Developer Tutorial: Modeling Spectral Data Using JMP Pro 17
- Advanced Developer Tutorial: Using Workflow Builder to Share Analysis Steps for Replay – No Coding Required
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)