Contains: instructional and interactive content, demonstrations and hand-on simulated exercises.
This course provides an application-oriented introduction to predictive models. Students will review basic statistical concepts and learn how to examine individual fields, how to assess the relationship between fields, and, finally, how to choose the type of predictive model. The course will present three models, and students will learn about basic options in the dialog boxes and how to interpret the results.
Throughout the course, IBM SPSS Modeler will be used in demonstrations and exercises.
Throughout the course, (fictitious) data from a telecommunications firm will be used as an example. The cases presented can easily be translated to other business domains.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms