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