IBM SPSS Modeler Advantage and Rules Management (V7) Eğitimi

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IBM  » IBM SPSS Modeler Eğitimler

IBM SPSS Modeler Advantage and Rules Management (V7) (0V101G)

IBM Course Code: 0V101G

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This course is a Web-based Training (WBT). IBM SPSS WBTs are interactive multimedia modules that are intuitive and instructionally sound. Through visual content and audio, product demonstrations, hands-on learning activities, and simulation-based assessments and quizzes, the modules guide the students to mastering an IBM SPSS application.

IBM SPSS Modeler Advantage and Rules Management (V7) is a web-based training course that teaches new business users of IBM SPSS Modeler Advantage how to build, evaluate and deploy predictive models, clustering models and association models. Various business questions will be addressed, among these are: analyzing responses in database marketing, churn (or retention) in Telco, fraud in insurance, and market basket analysis in retail. Also, this course will discuss how to build models using "statistical" algorithms, how to build models by user-defined rules and how statistical modeling and user-defined modeling can be combined to optimize results. Finally, ways to manage rules are reviewed, using IBM SPSS Rules Management.

Who Needs to Attend

This intermediate course is for:

  • New business users of Modeler Advantage

Prerequisites

You should have:

  • Experience using basic Windows functionality

Follow-On Courses

There are no follow-ons for this course.

Course Outline

IBM SPSS Modeler Advantage in Perspective

  • Applications of predictive analytics
  • Modeling data and scoring data
  • Types of modeling
  • Batch and real-time applications

Data Sources

  • Primary and secondary sata sources
  • Data structure
  • Data storage
  • Measurement level

Classification: Interactive Modeling

  • Decision list models
  • Customize rules

Classification: Auto Modeling

  • The idea of auto modeling
  • Partitioning data
  • Automated data preparation
  • Modeling a continuous target

Evaluating Classification Models

  • Distribution charts
  • Response charts
  • Gains charts
  • Lift charts

Scoring Classification Models

  • Scoring for categorical targets
  • Scoring for continuous targets

Clustering Models

  • What are clustering models?
  • How to interpret the results
  • Scoring clustering models

Association Models

  • What are association models?
  • How to interpret the results
  • Scoring association models

Rules Management

  • Store rules
  • Retrieve rules



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