Advanced Data Preparation with IBM SPSS Modeler SPVC
This follow-up course to Introduction to IBM SPSS Modeler and Data Mining is designed for anyone who wishes to become familiar with the full range of techniques available in IBM SPSS Modeler for data and file manipulation.
You should have:
- General computer literacy.
- Some experience using IBM SPSS Modeler (formerly Clementine) including familiarity with the IBM SPSS 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 with IBM SPSS Modeler" classroom course. In this course, youll examine additional topics to aid in the preparation of data for a successful data mining project. Youll 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.
E-Learning IBM Self-Paced Virtual Class (SPVC)
Preis (exkl. MwSt.)