1-Introduction and Anatomy of JMP, Outlier Analysis
2-Regression and Validation
3-Information Gain, Informative Missing, Partitioning with Trees
4-Clustering
5-Optimization and Monte Carlo Simulation in Excel
7-Principal Component Analysis with JMP
8-Artificial Neural Networks with JMP
9-Case Studies in Data Science using different techniques in JMP
10-An introduction to using Python for basic data analysis
11-Project