|Kurskode||0E0U3NO||Leveringsform||Self-paced Virtual Class|
|Listepris||Set by Partner|
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 'Classifying Customers Using IBM SPSS Modeler' classroom course. Classifying Customers Using IBM SPSS Modeler is a one day, self-paced training, intermediate level course that provides an overview of how to use Modeler to predict the category to which a customer belongs based on selected data. Some examples include: whether a customer switches to another provider or brand, whether a customer responds to a particular advertising campaign, or how well a student will perform in a specific academic setting.
This intermediate course follows the 'Introduction to IBM SPSS Modeler and Data Mining' course and is essential for anyone who wishes to become familiar with a number of modeling techniques available in IBM SPSS Modeler used to classify customers. This would include Data Analysts and analytics business users.
You should have:
An introductory course in statistics, or equivalent experience, is helpful.