The course domains and modules act as a blueprint for the exam. With the step-by-step guide and expert learning resources for the C2090-930 IBM SPSS Modeler Professional V3 exam, it’s time to buckle up and begin your preparation. Preparatory Guide for C2090-930 IBM SPSS Modeler Professional V3Īfter examining all the details related to the examination, now it’s time to start your preparation.

Identify SPSS Modeler reporting methods.

Identify how to score new data using models.

Describe how to use Export nodes (tools for exporting data).

Describe how to use model nugget interfaces.

Demonstrate how to interpret SPSS Modeler results (for example, using Evaluation node, Analysis node, and data visualizations).Demonstrate how to combine models using the Ensemble node.Describe segmentation models, association models and auto modeling nodes.

Describe classification models (including GLM and regression).Describe sampling, partitioning, and balancing data (for example, Sample node, Balance node and Partition node) and methods for refining data (for example, Select node, Filter node and Aggregate node).Describe methods for data transformation (for example, Derive node, Auto Data Prep node, Data Audit node and Filler node) and how to integrate data (for example, Merge node and Append node).Describe data quality issues (for example, outliers and missing data).Describe appropriate nodes for summary statistics, distributions, and visualizations (for example, graph nodes, output nodes).Describe how to map business objectives to data mining goals.Describe the advantages of SPSS Modeler scripting.Course Outline SPSS Modeler Professional Functionality: 10%

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