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.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/STAT software.
To perform the practices in the e-course, you must be able to access SAS/STAT 13.1 on the same computer as the training.
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Predictive Modeling Using Logistic Regression (V9.3 and V14.2)||16.0 hours||180 days||English||815 EUR|
|Dates||Location||Time||Language||Fee||Add to Cart|
|08-09 ΙΟΥΝ 2020||Live Web||10:30 AM-06:30 PM EEST||French||1,350 EUR|
|30-31 ΙΟΥΛ 2020||Live Web||10:30 AM-06:30 PM EEST||English||1,475 EUR|
|12-13 ΟΚΤ 2020||Live Web||10:30 AM-06:30 PM EEST||English||1,475 EUR|
|28-29 ΟΚΤ 2020||Live Web||10:00 AM-06:00 PM EET||German||1,475 EUR|