Data Science without a Ph.D. Using IBM SPSS Modeler v18.1.1 SPVC 0E018G

Duration: 
1 days
Codes: 
0E018G,SPVC,IBM,SPSS
Versions: 
V18.1.1

Overview

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. http://www.ibm.com/training/terms

Course Outline

  • 1: Introduction to data science and IBM SPSS Modeler
  • 2: Setting measurement levels
  • 3: Exploring the data
  • 4: Using automated data preparation
  • 5: Partitioning the data
  • 6: Selecting predictors
  • 7: Using automated modeling
  • 8: Evaluating models
  • 9: Deploying models

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