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IBM SPSS Data Collection Scripting (Intro to Data Management) (0M295G)

Kursbeschreibung Kurstermine Detaillierter Kursinhalt
 

Zielgruppe

This basic course is for scriptwriters who will be responsible for the data management of projects. In order words, taking initial datasets and surveys files and modifying the records appropriately.

Voraussetzungen

There are no prerequisites for this course, although knowledge of the IBM SPSS Data Collection Author Professional product is a bonus. For students not familiar with the concept of object orientated languages, consider taking the self paced VBScript course tutorial associated with this course.

Kursinhalt

This course covers the basics of Data Management scripting using IBM SPSS Data Collection Author Professional. You will utilize IBM SPSS Data Collection tools to understand the survey structure and data association. Each lesson then builds on the fundamental requirements to manipulate survey and case data, while at the same time introducing best practices and recommended guidelines. You will learn about each of the events that can be accessed during the data management process, building up to a definitive, all-encompassing solution at the end of the course. The survey and case data used during this course are the solutions to the IBM SPSS Data Collection Scripting (Survey Creation) Level I course, thereby providing a sense of continuity to students from both classes.

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 Berlin
20.03. - 21.03.2017 Frankfurt
10.07. - 11.07.2017 Hamburg
04.09. - 05.09.2017 München
02.11. - 03.11.2017 Düsseldorf
Österreich
04.09. - 05.09.2017 Wien (iTLS)