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