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SPSS IBMSPSSMBPDM Exam Syllabus Topics:

Section	Objectives
Deployment	- Model deployment and application 1. Reporting and decision integration 2. Operationalizing predictive models
Evaluation	- Model assessment 1. Business relevance validation 2. Accuracy and performance metrics
Data Preparation	- Data cleaning and transformation 1. Field derivation and transformation 2. Handling missing values and outliers 3. Data integration and sampling
Modeling	- Predictive modeling techniques 1. Classification models 2. Model training in IBM SPSS Modeler 3. Clustering and segmentation
Business Understanding	- Define business objectives and data mining goals 1. Translate business problems into analytical objectives 2. CRISP-DM methodology overview
Data Understanding	- Initial data exploration 1. Data quality assessment 2. Descriptive statistics and distributions