Clustering and Association Models with IBM SPSS Modeler SPVC
This course follows the Introduction to IBM SPSS Modeler and Data Mining course or the Advanced Data Preparation with IBM SPSS Modeler and is designed for anyone who wishes to become familiar with the full range of modeling techniques available in IBM SPSS Modeler to segment (cluster) data and to create models with association or sequence data. For people wishing to successfully build such models using IBM SPSS Modeler, this course is an essential part of the learning process.
You should have:
- General computer literacy.
- Experience using IBM SPSS Modeler, including familiarity with the IBM SPSS Modeler environment, creating streams, reading in data files, assessing data quality and handling missing data (including the Type and Data Audit nodes), basic data manipulation (including the Derive and Select nodes), and creation of models.
- Prior completion of the Introduction to IBM SPSS Modeler and Data.
This is the self paced training version of Clustering and Association Models with IBM SPSS Modeler classroom course. This self paced training course demonstrates how to segment or cluster data with all the clustering techniques available in IBM SPSS Modeler. The course also provides examples of creating association models to find rules describing the relationships among a set of items, and of creating sequence models to find rules describing the relationships over time among a set of items.
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.
E-Learning IBM Self-Paced Virtual Class (SPVC)
Preis (exkl. MwSt.)