IBM SPSS Statistics Essentials (V26) Training in Norway

  • Learn via: Classroom
  • Duration: 2 Days
  • Price: From €1,690+VAT
We can host this training at your preferred location. Contact us!

These courses are being delivered by an IBM Global Training Provider

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.

Knowledge of your business requirements

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

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



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
06 august 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
06 august 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
19 august 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
15 september 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
20 september 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
04 oktober 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
09 oktober 2024
Oslo, Bergen, Trondheim
2 Days
Classroom / Virtual Classroom
09 oktober 2024
Oslo, Bergen, Trondheim
2 Days
IBM SPSS Statistics Essentials (V26) 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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