Data understanding and preparation are the most time-consuming parts of data science projects. IBM SPSS Modeler makes data preparation tasks easy and transparent. Many data preparation tasks are automated in Modeler. This express course will cover the most common data preparation tasks, the user interface palettes for data preparation, and how to complete data preparation tasks in Modeler. This two hour course will cover the following topics:
Typical data preparation tasks
Review of Record Ops palette
Demonstration of Select, Sample, Distinct, and Aggregate nodes
Review of Field Ops palette
Demonstration of Filter, Derive, Reclassify, Set to Flag, and Restructure nodes
Demonstration of merging data files with Merge and Append nodes
Course attendees will receive sample data files and step-by-step exercises that can be completed following the course.
Best for: Anyone who wants to understand the extensive data preparation tools in Modeler so that data preparation and transformation tasks are completed prior to model building.
For more SPSS courses have a look at our Public & Professional Courses https://www.spssanalyticspartner.com/training/public-professional-training-courses/
