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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Optimization | 20% | - Optimize nonlinear programs - Optimize linear programs |
| Topic 2: Text Analytics | 30% | - Use High-Performance Text Miner - Import data into SAS Text Analytics - Parse and quantify text - Create data sources for text mining - Perform predictive modeling on text data |
| Topic 3: Experimentation & Incremental Response Models | 20% | - Explain experimental design concepts - Use Incremental Response node in SAS Enterprise Miner - Relate design terminology to business contexts - Use incremental response models to identify responsive cases |
| Topic 4: Time Series | 30% | - Identify time series characteristics and components - Fit and interpret unobserved components models - Fit and interpret exponential smoothing models - Fit and interpret ARIMAX models |
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