Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. This course provides the fundamentals of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.1.1, and introduces the student to modeling. 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. Terms and Conditions: Ingram Micro – https://www.ingrammicrotraining.com/Terms-of-use.aspx; IBM – http://www.ibm.com/training/terms

Version:

v18.1.1

Audience:

? Business analysts
? Data scientists
? Clients who are new to IBM SPSS Modeler or want to find out more about using it

Objectives:

Detail:

0. Introduction to modeling
? List three types of models
? Use a supervised model
? Use a segmentation model

Pre-Requisites:

? It is recommended that you have an understanding of your business data