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SPSS IBMSPSSMBPDA Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: IBM SPSS Modeler Environment | - Project organization and workflow design - Data sources and import methods - Streams and nodes concept |
| Topic 2: Data Preparation and Transformation | - Data formatting and type conversion - Data cleaning and missing value handling - Feature engineering and derivation |
| Topic 3: Model Building Techniques | - Regression models - Classification models - Clustering methods - Association analysis |
| Topic 4: Model Deployment and Reporting | - Model export and deployment concepts - Reporting and visualization basics |
| Topic 5: Model Evaluation and Validation | - Model comparison and selection - Model accuracy metrics - Training and test dataset split |
| Topic 6: Data Mining and Analytics Fundamentals | - Business understanding and data understanding - CRISP-DM methodology overview |
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