Mastering JMP®
Advanced
- Statistics, Predictive Modeling and Data Mining Using Structural Equation Models to Uncover Relationships between Observed and Latent Variables
- Data Visualization and Exploratory Data Analysis Advanced Techniques for Working with Big Data
- Statistics, Predictive Modeling and Data Mining Understanding the Principles for Building Predictive Models
- Statistics, Predictive Modeling and Data Mining Building Better Predictive Models Part 2: Implementing Models using JMP® and JMP® Pro
- Statistics, Predictive Modeling and Data Mining Using JMP® Pro to Build Models Using Generalized Regression Variable Selection Techniques
- Statistics, Predictive Modeling and Data Mining Building Linear Mixed Models Using JMP® Pro
- Statistics, Predictive Modeling and Data Mining Using JMP® Pro to Model Functional Data
- Statistics, Predictive Modeling and Data Mining Time Series Forecasting
- Statistics, Predictive Modeling and Data Mining Building Predictive Models for Spectral Data
- Consumer and Market Research Using JMP® for Marketing Analytics and Consumer Research
- Consumer and Market Research Using JMP® Pro for Enhanced Marketing Analytics and Consumer Research
- Design of Experiments Using Blocking When Designing Experiments
- Design of Experiments Designing Experiments to Optimize Manufacturing Materials Selection
- Design of Experiments Using Design of Experiments Methods for Efficient Modeling & Simulation
- Application Development Accessing Databases
- Life Sciences Analyzing Genetic Diversity and Applying Genomic Selection Methods for Plant Breeding
- Life Sciences Single-Cell RNA-Seq Analysis
- Life Sciences Machine Learning and Biomarker Sub-Group Analysis for Precision Medicine
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)