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SASInstitute A00-274 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Assessing Segmentation Models | 28% | - Supervised segmentation using decision trees - Assess and interpret decision tree performance - Interpret and analyze cluster results - Unsupervised segmentation using cluster analysis |
| Topic 2: Building and Assessing Regression-Type Models | 41% | - Explain linear model concepts and assumptions - Perform linear regression modeling - Interpret and validate regression model outputs - Build generalized additive models - Perform nonparametric logistic regression modeling - Evaluate linear regression model results |
| Topic 3: Model Comparison and Scoring | 9% | - Interpret scoring results - Compare multiple models using appropriate metrics - Apply models to score new data |
| Topic 4: SAS Visual Statistics Cross-Functional Tasks | 22% | - Use interactive group-by functionality - Filter data for modeling - Perform model validation - Prepare data using SAS Visual Analytics |
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