Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. This course focuses on reviewing concepts of data science, where participants will learn the stages of a data science project. Topics include using automated tools to prepare data for analysis, build models, evaluate models, and deploy models. To learn about these data science concepts and topics, participants will use IBM SPSS Modeler as a tool. 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
? Participants who want to get started with data science

Objectives:

Detail:

ating models
? Evaluate models for categorical targets
? Evaluate models for continuous targets
9: Deploying models
? List two ways to deploy models
? Export scored data

Pre-Requisites:

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