Introduction to IBM SPSS Statistics Training in Sweden

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 2 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

In this course, you will learn the fundamentals of using IBM SPSS Statistics for typical data analysis process. You will learn the basics of reading data, data definition, data modification, as well as data analysis and presentation of analytical results. You will also see how easy it is to get data into IBM SPSS Statistics so that you can focus on analyzing the information. In addition to learning the fundamentals, you will get to know shortcuts that will help you save time. This course uses the IBM SPSS Statistics Base features.

There are no prerequisites for this course.

  • Individuals with limited or no experience in using IBM SPSS Statistics
  • Individuals new to using a statistical package for data analysis
  • Individuals considering purchasing IBM SPSS Statistics

  • Overview of IBM SPSS Statistics
  • Read data
  • Variable properties
  • Work with the data editor
  • Modify data values and recode
  • Modify data values and compute
  • Summarize individual variables
  • Relationships between variables
  • Select cases for analyses
  • Create and edit charts
  • Work in the viewer
  • Syntax basics
  • Menus and the help system

1. Introduction to IBM SPSS Statistics

  • How IBM SPSS Statistics is used for basic analysis
  • Basic steps in data analysis
  • primary windows in IBM SPSS Statistics
  • different components of dialog boxes

2. Reading Data

  • Import data from different types of file formats
  • choices on the File menu for reading data
  • Read Microsoft Excel files
  • Read files from a Microsoft Access database
  • Read delimited text files

3. Defining Variable Properties

  • variable properties in the Variable View window
  • Use the Define Variable Properties dialog box
  • Save variable properties with data in an IBM SPSS Statistics data file
  • Use the Variables utility to view variable properties interactively
  • Use the Display Data Dictionary facility and the Codebook procedure to view variable properties

4. Working with the Data Editor

  • Use features in the Data Editor
  • Insert, delete, and move variables and cases
  • Use the Split Screen view
  • Copy information from one dataset to another
  • Use the Copy Data Properties feature

5. Modifying Data Values: Recode

  • Use Visual Binning to reclassify values of an ordinal or scale variable
  • Use Recode Into a Different Variable to reclassify values of a nominal variable
  • Use Automatic Recode to create a numeric variable from a string variable

6. Modifying Data Values: Compute

  • features of Compute Variable
  • Create new variables with numeric expressions
  • Create new variables with conditional numeric expressions

7. Summarizing Individual Variables

  • Levels of measurement
  • Use the Frequencies procedure to produce tables and charts appropriate for nominal variables
  • Use the Frequencies procedure to produce tables and charts appropriate for ordinal variables
  • Use the Frequencies and Descriptives procedure to produce tables and charts for scale variables

8. Relationships between Variables

  • Select the appropriate procedure to summarize the relationship between two variables
  • Use the Crosstabs procedure to summarize the relationship between categorical variables
  • Use the Means procedure to summarize the relationship between a scale and a categorical variable

9. Selecting Cases for Analyses

  • Select cases in a data file using various methods
  • Use the features of the Select Cases dialog box
  • Use the features of the Split File dialog box

10. Creating and Editing Charts

  • Present results with charts
  • Use the Chart Builder to create various types of graphs
  • Format and edit graphs in the Chart Editor

11. Working in the Viewer

  • Navigate through the Viewer
  • Perform Automated Output Modification
  • Customize a pivot table
  • Create and apply a template for a pivot table
  • Export output to other applications

12. Syntax Basics

  • Use basic syntax to automate analyses
  • Use the Syntax Editor environment
  • Create syntax
  • Run syntax
  • Edit syntax

13. Menus and the Help System

  • Use the menus
  • Use the Toolbars
  • Use all types of help in IBM SPSS Statistics



Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Sweden facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

23 ođđajagemánnu 2025 (2 Days)
Stockholm, Malmö, Göteborg
Classroom / Virtual Classroom
01 guovvamánnu 2025 (2 Days)
Stockholm, Malmö, Göteborg
Classroom / Virtual Classroom
03 guovvamánnu 2025 (2 Days)
Stockholm, Malmö, Göteborg
Classroom / Virtual Classroom
23 ođđajagemánnu 2025 (2 Days)
Stockholm, Malmö, Göteborg
Classroom / Virtual Classroom
01 guovvamánnu 2025 (2 Days)
Stockholm, Malmö, Göteborg
Classroom / Virtual Classroom
03 guovvamánnu 2025 (2 Days)
Stockholm, Malmö, Göteborg
Classroom / Virtual Classroom
03 njukčamánnu 2025 (2 Days)
Stockholm, Malmö, Göteborg
Classroom / Virtual Classroom
10 njukčamánnu 2025 (2 Days)
Stockholm, Malmö, Göteborg
Classroom / Virtual Classroom
Introduction to IBM SPSS Statistics Training Course in Sweden

Sweden is a Nordic country that borders Norway, Finland and Denmark. The name "Sweden" originated from the "Svear", a people mentioned by the Roman author Tacitus. While being the largest Nordic country, Sweden is the fifth-largest country in Europe. Sweden has a total population of 10.4 million. The capital and largest city is Stockholm. About 15 percent of the country lies within the Arctic Circle, so that's why from May until mid-July, sunlight lasts all day in the north of the Arctic Circle. On the other hand, during December, the capital citt experiences only about 5.5 hours of daylight.

When in Sweden, visiting Stockholm's Old Town Gamla Stan, Sweden's most popular museum Vasa Museum and a UNESCO World Heritage Site; Drottningholm Palace is highly recommended.

Empower yourself with our extensive selection of IT courses, covering programming, data analytics, software development, business skills, cloud computing, cybersecurity, project management. Experience personalized training and expert guidance from our instructors, who will come to your chosen training venue anywhere in Sweden.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.