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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Time Series | 30% | - Model fitting, diagnosis, and interpretation - Unobserved Components models - ARIMAX models - Exponential Smoothing models - Identify time series characteristics and components |
| Topic 2: Experimentation and Incremental Response Models | 20% | - Incremental response modeling principles - Using Incremental Response node in SAS Enterprise Miner - Experimental design concepts and terminology - Role of experiments in business decision-making |
| Topic 3: Text Analytics | 30% | - Text preprocessing and feature creation - Using High-Performance Text Miner node - Predictive modeling on text data - Text parsing and quantification |
| Topic 4: Optimization | 20% | - Nonlinear programming optimization - Formulating and solving optimization problems - Linear programming optimization - Using SAS/OR procedures for optimization |
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