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