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