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IBM SPS-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Understanding and Planning | 10% | - Align business objectives with analytics goals - Apply CRISP-DM framework |
| Topic 2: Data Understanding | 15% | - Generate summary statistics - Explore data characteristics - Identify data quality issues |
| Topic 3: Deployment and Interpretation | 10% | - Interpret model results and outputs - Score new data - Export and deploy models |
| Topic 4: Modeling | 30% | - Model evaluation and comparison - Segmentation models (Clustering, TwoStep) - Association and sequence analysis - Auto modeling and ensemble techniques - Classification models (Decision Trees, Logistic Regression) |
| Topic 5: SPSS Modeler Professional Functionality | 10% | - Optimize workflow performance - Use SuperNodes and scripting - Customize nodes and outputs |
| Topic 6: Data Preparation | 25% | - Handle missing values and outliers - Sample, partition, and balance datasets - Clean and transform data - Integrate and merge data sources |
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