Predictive Modeling Using Logistic Regression
This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets.
This course can help prepare you for the following certification exam(s): SAS Advanced Predictive Modeling, SAS Statistical Business Analysis Using SAS 9: Regression and Modeling.Learn how to
Who should attendModelers, analysts, and statisticians who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance, and telecommunications industries
Before attending this course, you should:
This course addresses SAS/SHARE software.
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Predictive Modeling Using Logistic Regression||16.0 hours||180 days||English||960 USD / 2.3 EPTO|
|Dates||Location||Time||Language||Fee||Add to Cart|
|15-18 OCT 2019||Live Web||01:00 PM-04:30 PM EDT||English||1,940 CAD / 3.2 EPTO|
|15-18 OCT 2019||Live Web||01:00 PM-04:30 PM EDT||English||1,600 USD / 3.2 EPTO|
|17-18 DEC 2019||Live Web||12:00 PM-08:00 PM EST||English||1,600 USD / 3.2 EPTO|
|17-18 DEC 2019||San Francisco, CA||09:00 AM-05:00 PM PST||English||1,600 USD / 3.2 EPTO|