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Kursbeschreibung: Data Management and Manipulation with IBM SPSS Statistics - ILT

Für diesen Kurs gibt es zur Zeit keine Termine, für On-site Trainings rufen Sie bitte uns (+41 58 333 6969) an.

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Übersicht

  • Zielgruppe
  • Voraussetzungen
  • Kursziele
  • Themenübersicht
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Kursnr. 0G529XAT Wissensstand Intermediate
Dauer 2.0 Tage Kursform Klassenraum
(Praxis-Training)
Kurstyp Offen/Privater Onsite    
Kurspreis Euro 1'150.00 exkl. MwSt.
Euro 1'242.00 inkl. MwSt.
   

The focus of this course is on the use of a wide range of transformation techniques to modify data values, ways to automate your work, manipulate your data files and results, and export your results to other applications’ file formats. You will gain an understanding of the various options for controlling the IBM SPSS Statistics V.19 (formerly SPSS Statistics) operating environment and how to use basic syntax to perform data transformations efficiently and automate your work. This course uses the IBM SPSS Statistics Base features.

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Zielgruppe

This intermediate course is for anyone who has worked with SPSS and wants to explore additional data management and manipulation features of SPSS and generally increase their efficiency with SPSS. The course is a natural follow-on to the "Introduction to SPSS" course or as a stand alone for experienced users who have learned the basic operations of SPSS on their own.

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Voraussetzungen

You should have:

  • General computer literacy
  • Completion of the "Introduction to IBM SPSS Statistics" course
  • or experience with IBM SPSS Statistics (Version 15 or later) including familiarity with reading and defining data, basic uses of Recode and Compute transformations, and creating charts.

No statistical background is necessary.

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Kursziele

Please refer to Course Overview for description information.

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Themenübersicht

  • Automating IBM SPSS Statistics using syntax and Production Jobs
  • Further data transformations: Automatic Recode, Count, conditional transformations
  • Using Functions to compute Numeric variables
  • Using System Variables
  • Computing Date, Time, and String variables
  • Helpful Data Management Features, including
    • Identify duplicate cases
    • Restructuring data files
    • Custom Attributes
    • Customize Variable View
    • Sort on Variable Attributes
    • Using Variable Sets
    • Display Variable and File Attributes
  • Aggregating Data
  • Merging Files - Adding cases
  • Merging Files - Adding variables
  • Editing Charts and Pivot Tables
  • Deploying IBM SPSS Statistics results
  • Controlling the IBM SPSS Statistics environment

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