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