Predictive Modeling: Using Stats Modeling Techniques in IBM SPSS Modeler (V16)


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Wichtige informationen

Tipologie Kurs
Beginn Oktober
  • Kurs
  • Beginn:

This is an advanced course.


Wo und wann

Beginn Lage
Beginn Oktober

Häufig gestellte Fragen

· Voraussetzungen

You should have completed IBM SPSS Modeler: The Fundamentals or an introductory statistics course and experience with IBM SPSS Modeler

Was lernen Sie in diesem Kurs?

  • Linear regression
  • Logistic regression
  • Discriminant analysis
  • Cox regression
  • Generalized Linear Model
  • Generalized Linear Mixed Model


This course is developed and owned by an IBM Authorized Global Training Provider: Avnet Inc.

Derivative Works Courses are developed by an IBM authorized Global Training Provider. The content of the course is based on IBM products and services. It offers skills or services that IBM does not offer in the course catalog today and are intended to compliment our existing portfolio. The course is developed by the Training Provider. IBM solely provides a market place to advertise the courses on our external websites, and lists the Global Training Provider who owns the content.

Predictive Modeling: Using Statistical Modeling Techniques in IBM SPSS Modeler is an online instructor-led course delivered over a two day period, with each day consisting of a three-hour web session. This course demonstrates how to develop models to predict categorical and continuous outcomes, using such statistical techniques such as linear, logistic, and cox regression, discriminant analysis, generalized linear, and generalized linear mixed models. Expert options for each modeling node are reviewed in detail and advice is provided on when and how to use each model.

Zusätzliche Informationen

  • Build predictive models quickly and intuitively, without programming.

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