|Kurskode||0K046NO||Leveringsform||Self-paced Virtual Class|
|Listepris||Set by Partner|
ONCE YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT.
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 this 30 days, you will have 336 hours of elab time. 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, but 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. Once you have accessed the course, help is available Monday through Friday; questions will be responded to within 24 hours.
NO EXTENSIONS FOR THIS COURSE WILL BE GRANTED.
This is the self paced training version of 'Introduction to IBM SPSS Neural Networks' classroom course. This self-paced training course will cover the usage and applcation of Neural Network models using IBM SPSS Statistics. Neural Network models are used to predict an outcome variable that is either categorical or interval in scale using predictors that are also categorical or interval. Neural networks are popular when modeling complex environments (for example financial applications).
This intermediate course is for IBM Statistics (formerly IBM SPSS or SPSS Statistics) user in any application field who wants to learn more about Neural Network Models and their application, this self-paced training course will be of interest to you.