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Introduction to IBM SPSS Decision Trees (V19) (0G2K9G)

Kursbeschreibung Kurstermine Detaillierter Kursinhalt
 

Zielgruppe

This intermediate course is for:

  • Analysts building prediction or decision models for which many predictor variables of different types may be involved
  • Survey and Market researchers who need to perform automated decision or segmentation analysis

Voraussetzungen

You should have:

  • Familiarity with the Windows interface
  • Knowledge of basic statistics through regression (topics covered in Statistical Analysis Using SPSS) is very useful.

Those with advanced statistical training in predictive models (for example discriminant, logistic regression covered in Advanced Statistics Using SPSS for Windows or Market Segmentation Using SPSS) will gain more from the seminar.

Kursinhalt

Introduction to IBM SPSS Decision Trees is a two day instructor led classroom course that covers the principles and practice of the tree-based decision and regression methods available in IBM SPSS Decision Trees. A general introduction to the features of the IBM SPSS Decision Trees module and an overview of decision tree based methods will be covered. These methods (CHAID, Exhaustive CHAID, CRT, and QUEST) are used to perform classification, segmentation, and prediction modeling in a wide range of business and research areas. The techniques are discussed and compared, analyses are performed, and the results interpreted.

Classroom Training

Dauer 2 Tage

Preis (exkl. MwSt.)
  • Deutschland: 1.490,- €
inkl. Verpflegung
Verpflegung umfasst:

  • Kaffee, Tee, Saft, Wasser, Cola
  • Gebäck und Süßigkeiten
  • Belegte Brötchen
  • Frisches Obst
  • Mittagessen in einem der naheliegenden Restaurants

Gilt nur bei Durchführung durch Fast Lane. Termine, die von unseren Partnern durchgeführt werden, beinhalten ggf. ein abweichendes Verpflegungsangebot.


Digitale Kursunterlagen Termine und Buchen
 
Zum Buchen bitte auf den Ortsnamen klickenKurstermine
Deutschland
23.01. - 24.01.2017 München
20.03. - 21.03.2017 Düsseldorf
15.05. - 16.05.2017 Berlin
10.07. - 11.07.2017 Frankfurt
02.11. - 03.11.2017 Hamburg
Österreich
23.01. - 24.01.2017 Wien (iTLS)