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SASInstitute A00-274 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Building and Assessing Segmentation Models32%- Unsupervised segmentation
  • 1. K-means clustering
    • 2. Cluster interpretation and evaluation
      - Decision tree modeling
      • 1. Leaf analysis and interpretation
        • 2. Tree construction and pruning
          Topic 2: Model Comparison and Scoring9%- Scoring models
          • 1. Deploying scoring models
            • 2. Score code generation
              - Model comparison
              • 1. Assessment panel evaluation
                • 2. Champion model selection
                  Topic 3: Building and Assessing Regression-type Models40%- Linear regression modeling
                  • 1. Model diagnostics and interpretation
                    • 2. Model specification and effects
                      - Logistic regression modeling
                      • 1. Binary and multinomial logistic regression
                        • 2. Link functions and variable selection
                          - Model assessment
                          • 1. ROC, lift, KS statistics
                            • 2. Residual analysis and fit statistics
                              Topic 4: SAS Visual Statistics Cross-functional Tasks18%- Data preparation and transformation
                              • 1. Create aggregated measures and derived variables
                                • 2. Prepare data using SAS Visual Analytics
                                  • 3. Filter data used for modeling
                                    - Model workflow operations
                                    • 1. Apply filters and group-by modeling
                                      • 2. Perform model validation

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