|Course code||0E054||Skill level||Advanced|
|Duration||1.0 days||Delivery type||Self-paced Virtual Class|
|Course type||Public only|
|Public price||See Partner website|
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. You will then have a 30 day window in which to complete your course. Within these 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system.
NO EXTENSIONS FOR THIS COURSE WILL BE GRANTED.
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.
Training Paths that reference this course are:
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:
Prior completion of Introduction to IBM SPSS Modeler and Data Mining is strongly encouraged.
Dates and Strings