Predicting Continuous Targets Using IBM SPSS Modeler is a one day, self-paced, intermediate level course that provides an overview of how to use Modeler to predict a target field that describes numeric values. Some examples include: predicting the length of subscription (for newspapers, telecommunication), predicting claim amount (insurance), predicting donation amount (charity), predicting revenues (sales).
This intermediate course follows the 'Introduction to IBM SPSS Modeler and Data Mining' course and is essential for anyone who wishes to become familiar with a number of modeling techniques available in IBM SPSS Modeler used to predict a continuous target. This would include Data Analysts and analytics business users.
You should have:
Prior completion of Introduction to IBM SPSS Modeler and Data Mining is recommended.
An introductory course in statistics, or equivalent experience, is helpful.
There are no follow-ons for this course.