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SPSS IBMSPSSMBPDA Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment & Evaluation Basics | 10% | - Exporting results and reports - Model assessment metrics |
| Topic 2: Data Preparation & Transformation | 35% | - Restructuring, aggregating and sampling data - Handling missing values and outliers - Data caching and optimization - Creating derived variables and reclassification |
| Topic 3: Introduction to IBM SPSS Modeler & CRISP-DM | 15% | - CRISP-DM methodology - SPSS Modeler interface and workbench |
| Topic 4: Modeling Fundamentals | 15% | - Supervised and unsupervised modeling concepts - Using basic predictive nodes - Interpreting initial model outputs |
| Topic 5: Data Understanding & Exploration | 25% | - Loading and inspecting data sources - Identifying data quality issues - Descriptive statistics and visualization |






