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Correspondence Analysis and Multidimensional Scaling w/ IBM SPSS Categories -ILT (0G056G)

Kursbeschreibung Kurstermine Detaillierter Kursinhalt
 

Zielgruppe

If you are a IBM SPSS Statistics (formerly SPSS Statistics) user in any application field who wants to learn more about Correspondence analysis, and Multidimensional Scaling, this intermediate course will be of interest to you.

Voraussetzungen

You should have:

  • Experience with IBM SPSS Statistics or SPSS Statistics
  • or completion of the Introduction to IBM SPSS Statistics (Basics) course.
  • Basic statistical knowledge or at least one college level course in statistics is helpful.

Kursinhalt

This course will focus on how to perform Correspondence Analysis and Multi-Dimensional Scaling using procedures in the IBM SPSS Categories add-on module in IBM SPSS Statistics. Learn how to use correspondence analysis to examine the relationship of categorical data and display these relationships on perceptual maps. Learn about multidimensional scaling and preference scaling techniques to examine similarities and dissimilarities among objects such as product brands and features and customer preferences. These techniques are useful in any circumstance where you need to analyze and display graphically the correspondence among categorical data. The course will discuss the basic logic of these techniques, how to setup the analysis and examine the results using a variety of usage examples and hands-on exercises.

Classroom Training

Dauer 1 Tag

Preis (exkl. MwSt.)
  • Deutschland: 790,- €
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
30.01.2017 Düsseldorf
27.03.2017 Berlin
22.05.2017 Frankfurt
11.09.2017 Hamburg
06.11.2017 München
Österreich
06.11.2017 Wien (iTLS)