Introduction to IBM SPSS Statistics Training in Norway

  • 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 Norway facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
12 juli 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
15 juli 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
20 juli 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
04 august 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
03 august 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
15 august 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
15 august 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
18 august 2024
Oslo, Bergen, Trondheim
2 Days
Introduction to IBM SPSS Statistics Training Course in Norway

The Nordic country Norway, is in Northern Europe. Known for its stunning natural beauty, including fjords, mountains, and forests, Norway is also famous for its high standard of living and strong social welfare system. Norway's capital and largest city is Oslo. Tromsø, Bergen, Trondheim and Stavanger are the other tourist attracting cities of Norway.

Norway is a constitutional monarchy with King Harald V as the head of state. The country has a population of 5,425,270 as of January 2022. Norway is a relatively small country and has a relatively low population density, with much of its land area covered by forests, mountains, and fjords. Despite its small size, Norway is known for its rich cultural heritage, strong economy, and stunning natural beauty, which attracts millions of visitors every year. This Nordic country is also known for its winter sports, such as skiing and snowboarding, and is a popular destination for outdoor enthusiasts.

Norway has a long history of invention and is home to numerous more top-tier tech firms and research facilities, such as; Kongsberg Gruppen, Telenor, Atea, Evry and Gjensidige Forsikring.

Due to the country's high latitude, there are large seasonal variations in daylight. From late May to late July, the sun never completely descends beneath the horizon. Which attracts many tourists around the world to see the "Land of the Midnight Sun". Tourists mainly visit Sognefjord, Norway's Largest Fjord, Pulpit Rock, one of the most photographed sites in Norway and of course the capital; Oslo.

Oslo is considered the business center of Norway. It is the country's largest city and the capital of Norway. The city is home to many of Norway's largest and most important companies, as well as several international organizations and research institutions. Additionally, the city is a popular tourist destination, known for its scenic location on the Oslo Fjord, its many museums and cultural attractions, and its vibrant nightlife and dining scene. Some of the most popular museums in Oslo are The Norwegian Museum of Cultural History, The Nobel Peace Center, The National Museum of Art, Architecture, and Design, The Munch Museum and The Vigeland Museum.
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