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IBM C2090-930 Exam Syllabus Topics:

Topic	Details
Topic 1	Describe how to integrate data Describe appropriate nodes for summary statistics
Topic 2	Describe how to use model nugget interfaces Describe the CRISP-DM process
Topic 3	Describe methods for refining data Identify how to score new data using models
Topic 4	Demonstrate how to combine models using the Ensemble node SPSS Modeler Professional Functionality
Topic 5	Describe how to use Export nodes (tools for exporting data) Identify the purpose of each palette
Topic 6	Describe the advantages of SPSS Modeler scripting Describe methods for data transformation
Topic 7	Describe sampling, partitioning, and balancing data Describe the use of SuperNodes
Topic 8	Describe how to map business objectives to data mining goals Identify SPSS Modeler reporting methods
Topic 9	Describe classification models, segmentation models, association models, auto modeling nodes

Reference: https://www-03.ibm.com/certify/exam.html?id=C2090-930

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