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