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IBM SPS-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Understanding | 20% | - Identify missing values and outliers - Descriptive statistics and summaries - Data visualization and exploration |
| Topic 2: Business Understanding & CRISP-DM Methodology | 5% | - Business objectives alignment - CRISP-DM framework overview |
| Topic 3: Data Preparation | 30% | - Handling missing values - Aggregation, sampling and partitioning - Merge, append and restructure data - Cleaning, recoding and transformation |
| Topic 4: Evaluation & Reporting | 10% | - Model performance assessment - Interpret results and generate outputs |
| Topic 5: General Operations in SPSS Modeler | 20% | - Build, save and run streams - Interface navigation and node usage - Data import and export |
| Topic 6: Modeling Concepts | 15% | - Regression, classification and clustering overview - Basic predictive modeling principles - Model application and interpretation |




