Survival Data Mining: A Programming Approach
Business Knowledge Series course
This advanced course covers predictive hazard modeling for customer history data. Designed for data analysts, the course uses SAS/STAT software to illustrate various survival data mining methods and their practical implementation.
Note: Formerly titled Survival Data Mining: Predictive Hazard Modeling for Customer History Data, this course now includes hands-on exercises so that you can practice the techniques that you learn. Other additions include a chapter on recurrent events, new features in SAS/STAT software, and an expanded section that compares discrete time approach versus the continuous time models such as Cox Proportional Hazards models and fully parametric models such as Weibull.
Learn how to
Who should attend
Before attending this course, you should
This course addresses SAS/STAT software.
Survival Data Mining
|Dates||Location||Time||Language||Fee||Add to Cart|
|19-21 MAY 2015||San Francisco, CA||9:00-5:00 PDT||English||2475 USD / 5.1 EPTO|
|03-05,10-12 JUN 2015||Live Web||1:00-4:30 EDT||English||2475 USD / 5.1 EPTO|
|22-24 JUL 2015||Minneapolis, MN||9:00-5:00 CDT||English||2475 USD / 5.1 EPTO|
|09-11,16-18 SEP 2015||Live Web||1:00-4:30 EDT||English||2475 USD / 5.1 EPTO|
|13-15 OCT 2015||New York, NY||9:00-5:00 EDT||English||2475 USD / 5.1 EPTO|
|01-03,08-10 DEC 2015||Live Web||1:00-4:30 EST||English||2475 USD / 5.1 EPTO|