IBM SPSS Statistics Essentials (V26)

Kurscode 0G53BG
Kurssprache Deutsch
Unterlagen Englisch
Anbieter IBM
Preis 1400,00 Euro exkl. USt
Dauer 2 Tage
Kurstermine 17 Termine

This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables.

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Zielgruppe

• New users of IBM SPSS Statistics 
• Users who want to refresh their knowledge about IBM SPSS Statistics 
• Anyone who is considering purchasing IBM SPSS Statistics

Vorraussetzungen

Knowledge of your business requirements

Kurstermine

Ort des Kurses Kursbeginn  
München 25. Februar 2021 Buchen
Virtual Classroom 01. März 2021 Buchen
Virtual Classroom 08. April 2021 Buchen
Berlin 26. April 2021 Buchen
Virtual Classroom 06. Mai 2021 Buchen
Frankfurt 27. Mai 2021 Buchen
Virtual Classroom 31. Mai 2021 Buchen
Virtual Classroom 01. Juli 2021 Buchen
Düsseldorf 26. Juli 2021 Buchen
Virtual Classroom 02. August 2021 Buchen
Virtual Classroom 02. September 2021 Buchen
Stuttgart 27. September 2021 Buchen
Virtual Classroom 04. Oktober 2021 Buchen
Stuttgart 25. Oktober 2021 Buchen
Virtual Classroom 04. November 2021 Buchen
Virtual Classroom 29. November 2021 Buchen
Hamburg 13. Dezember 2021 Buchen

Kursthemen

Introduction to IBM SPSS Statistics 
• Review basic concepts in IBM SPSS Statistics 
• Identify the steps in the research process 
• Review basic analyses 
• Use Help 

Reading data and defining metadata 
• Overview of data sources 
• Read from text files 
• Read data from Microsoft Excel 
• Read data from databases 
• Define variable properties 

Selecting cases for analyses 
• Select cases for analyses 
• Run analyses for groups 
• Apply report authoring styles 

Transforming variables 
• Compute variables 
• Recode values of categorical and scale variables 
• Create a numeric variable from a string variable 

Using functions to transform variables 
• Use statistical functions 
• Use logical functions 
• Use missing value functions 
• Use conversion functions 
• Use system variables 
• Use the Date and Time Wizard 

Setting the unit of analysis 
• Remove duplicate cases 
• Create aggregate datasets 
• Restructure datasets 

Merging data files 
• Add cases from one dataset to another 
• Add variables from one dataset to another 
• Enrich a dataset with aggregated information 

Summarizing individual variables 
• Define levels of measurement 
• Summarizing categorical variables 
• Summarizing scale variables 

Describing the relationship between variables 
• Choose the appropriate procedure 
• Summarize the relationship between categorical variables 
• Summarize the relationship between a scale and a categorical variable 

Creating presentation-ready tables with Custom Tables 
• Identify table layouts 
• Create tables for variables with shared categories 
• Create tables for multiple response questions 

Customizing pivot tables 
• Perform Automated Output Modification 
• Customize pivot tables 
• Use table templates 
• Export pivot tables to other applications 

Working with syntax 
• Use syntax to automate analyses 
• Create, edit, and run syntax 
• Shortcuts in the Syntax Editor 

Controlling the IBM SPSS Statistics environment 
• Set options for output 
• Set options for variables display 
• Set options for default working folders 

Kursziele

Introduction to IBM SPSS Statistics 
• Review basic concepts in IBM SPSS Statistics 
• Identify the steps in the research process 
• Review basic analyses 
• Use Help 

Reading data and defining metadata 
• Overview of data sources 
• Read from text files 
• Read data from Microsoft Excel 
• Read data from databases 
• Define variable properties 

Selecting cases for analyses 
• Select cases for analyses 
• Run analyses for groups 
• Apply report authoring styles 

Transforming variables 
• Compute variables 
• Recode values of categorical and scale variables 
• Create a numeric variable from a string variable 

Using functions to transform variables 
• Use statistical functions 
• Use logical functions 
• Use missing value functions 
• Use conversion functions 
• Use system variables 
• Use the Date and Time Wizard 

Setting the unit of analysis 
• Remove duplicate cases 
• Create aggregate datasets 
• Restructure datasets 

Merging data files 
• Add cases from one dataset to another 
• Add variables from one dataset to another 
• Enrich a dataset with aggregated information 

Summarizing individual variables 
• Define levels of measurement 
• Summarizing categorical variables 
• Summarizing scale variables 

Describing the relationship between variables 
• Choose the appropriate procedure 
• Summarize the relationship between categorical variables 
• Summarize the relationship between a scale and a categorical variable 

Creating presentation-ready tables with Custom Tables 
• Identify table layouts 
• Create tables for variables with shared categories 
• Create tables for multiple response questions 

Customizing pivot tables 
• Perform Automated Output Modification 
• Customize pivot tables 
• Use table templates 
• Export pivot tables to other applications 

Working with syntax 
• Use syntax to automate analyses 
• Create, edit, and run syntax 
• Shortcuts in the Syntax Editor 

Controlling the IBM SPSS Statistics environment 
• Set options for output 
• Set options for variables display 
• Set options for default working folders 

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