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IBM SPS-202 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Preparation and Management | 30% | - Sampling and aggregation - Data cleaning and transformation - Handling missing values - Data import and export |
| Topic 2: Introduction to IBM SPSS Modeler | 20% | - Stream creation and management - Node types and usage - Modeler interface and workspace |
| Topic 3: Model Deployment and Reporting | 15% | - Scoring and applying models - Generating outputs and reports - Interpreting results |
| Topic 4: Data Mining Techniques | 35% | - Clustering algorithms - Classification and prediction models - Association and sequence analysis - Model evaluation and validation |
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