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Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
IBM SPSS Statistics Essentials (V26)
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...
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$1,790 USD
Duration
2 days
Course Code
0G53BG
Available Formats
Classroom, Virtual
Course Eligible for IBM Digital Badge
This course is available in other formats.
Self-Paced
Self-Paced
Overview
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.
Skills Gained
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
Who Can Benefit
- 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
Prerequisites
Knowledge of your business requirements
Course Details
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
Objectives
Schedule
3 options available
-
Mar 23, 2026 - Mar 24, 2026 (2 days)
Live Virtual | 9:30AM – 5:30PM EDT Language English Select from 1 option(s) below Live Virtual |9:30AM – 5:30PM EDT- Enroll
- Enroll Add to quote
Winter Promotion: Save on this course today.
Promo Code: FROSTBYTE -
Apr 27, 2026 - Apr 28, 2026 (2 days)
Live Virtual | 9:30AM – 5:30PM EDT Language English Select from 1 option(s) below Live Virtual |9:30AM – 5:30PM EDT- Enroll
- Enroll Add to quote
Winter Promotion: Save on this course today.
Promo Code: FROSTBYTE -
Jun 22, 2026 - Jun 23, 2026 (2 days)
Live Virtual | 9:30AM – 5:30PM EDT Language English Select from 1 option(s) below Live Virtual |9:30AM – 5:30PM EDT- Enroll
- Enroll Add to quote
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
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Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
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As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
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Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
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Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
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Reviews
Gary Taylor is a terrific instructor.
LOVED Gary Taylor -- such a passionate person who really took the time to get to know us. Really made the course engaging, especially for a person like me who gets distracted easily!
The instructor explained the topic in detail and he is very knowledgeable about the software. You can tell by his voice that he really enjoys his job.
Gary was so great!
Our instructor was very knowledgeable. His pace of delivery was rapid but that was due to the volume of information included in the training. He was very kind and made sure we all knew he was available post-training for additional support.
