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