Data Transformations in IBM SPSS Statistics

In IBM SPSS Statistics, you can work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics, and machine learning models. You can create publication-ready charts, tables, and decision trees in one tool.

IBM SPSS Statistics is easy to use, provides analysis automation, comprehensive statistical tools, integration with open source, and help at your fingertips. Recent changes have also included a complete visual and statistical overview of data in a new tab within the user interface. 

To improve your experience using IBM SPSS Statistics, the Version 1 SPSS experts provide Statistics training, offering both express and longer courses. Training can also be customised for individual users and groups. Investing in training improves and extends your knowledge of statistical analysis and machine learning methods, in combination with maximising your usage of this powerful tool.  

IBM SPSS Statistics covers all steps of the analytical process and makes transforming data easy and transparent. In this express course, the most common data transformation tasks will be reviewed. The purpose of each transformation will be examined along with automated methods to transform large amounts of data. The course will start with a review of data types and why they matter when transforming data. Attendees will learn how to recode data using the recode and visual binning procedures. The Compute dialogue will be reviewed, and attendees will learn how to compute new fields in the data. Selecting and sampling cases will also be covered. Merging and appending data will show attendees how to combine data files.

This course will cover the following topics:

• Types of data and common types of data transformations
• Recoding data
• Visual binning
• Computing new fields
• Selecting cases
• Sampling cases
• Merging files
• Appending files

Course attendees will receive sample data files and step-by-step exercises that can be completed following the course.

Best for: Analysts and researchers interested in learning data transformation in IBM SPSS Statistics.