Description
1. Introduction.
2. Descriptive Statistics.
3. Data Visualization.
4. Probability: An Introduction to Modeling Uncertainty.
5. Descriptive Data Mining.
6. Statistical Inference.
7. Linear Regression.
8. Time Series Analysis and Forecasting.
9. Predictive Data Mining.
10. Spreadsheet Modeling.
11. Monte Carlo Simulation.
12. Linear Optimization Models.
13. Integer Linear Optimization Models.
14. Nonlinear Optimization Models.
15. Decision Analysis.
