First of all u need a IBM Exam Registration : https://wsr.pearsonvue.com/testtaker/profile/create/SignUp.htm?clientCode=IBMCORPORATION&locale=en_US click this link and get notified after verification. This test will certify that the successful candidate has the fundamental knowledge to participate as an effective team member in the implementation of IBM SPSS Modeler Professional analytics solutions. SPSS Modeler Professional Functionality 10%
Identify the purpose of each palette
Describe the use of SuperNodes
Describe the advantages of SPSS Modeler scripting Business Understanding and Planning 10%
Describe the CRISP-DM process
Describe how to map business objectives to data mining goals Data Understanding 15%
Describe appropriate nodes for summary statistics, distributions, and visualizations (for example, graph nodes, output nodes)
Describe data quality issues (for example, outliers and missing data) Data Preparation 20%
Describe methods for data transformation (for example, Derive node, Auto Data Prep node, Data Audit node and Filler node)
Describe how to integrate data (for example, Merge node and Append node)
Describe sampling, partitioning, and balancing data (for example, Sample node, Balance node and Partition node)
Describe methods for refining data (for example, Select node, Filter node and Aggregate node) Modeling 20%
Describe classification models (including GLM and regression)
Describe segmentation models
Describe association models
Describe auto modeling nodes
Demonstrate how to combine models using the Ensemble node Evaluation and Analysis 15%
Demonstrate how to interpret SPSS Modeler results (for example, using Evaluation node, Analysis node, and data visualizations)
Describe how to use model nugget interfaces Deployment 10%
Describe how to use Export nodes (tools for exporting data)
Identify how to score new data using models
Identify SPSS Modeler reporting methods Related Certification
IBM Certified Specialist - SPSS Modeler Professional v3
IBM Data and AI : Platform Analytics PartnerWorld Code: 47100203