Advanced Data Preparation Using IBM SPSS Modeler (V15) SPVC
This advanced course is intended for anyone who wishes to become familiar with the full range of techniques available in IBM SPSS Modeler for data manipulation.
You should have:
- General computer literacy
- Some experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, and doing simple data exploration and manipulation.
Prior completion of Introduction to IBM SPSS Modeler and Data Mining is strongly encouraged.
This is the self paced training version of "Advanced Data Preparation Using IBM SPSS Modeler" classroom course. Advanced Data Preparation Using IBM SPSS Modeler is a one day self-paced training course that covers additional topics to aid in the preparation of data for a successful data mining project. You will learn how to partition records from files, handle missing data, modify fields and create new fields, and work with dates, strings and sequence data.
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.
Preis (exkl. MwSt.)