Survival Data Mining Using SAS Enterprise Miner Software
Business Knowledge Series course
Presented by Chip Wells, Ph.D., Manager, Analytical Education, Education Division, SAS
This advanced course covers predictive hazard modeling for customer history data. Designed for analysts, the course uses SAS Enterprise Miner to illustrate survival data mining methods and their practical implementation.
The self-study e-learning includes:
Who should attendPredictive modelers, data analysts, statisticians, econometricians, model validators, and data scientists
Before attending this course, you should:
SAS programming experience is helpful but not mandatory.
This course addresses SAS Enterprise Miner software.
Survival Data Mining
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Survival Data Mining Using SAS Enterprise Miner Software (14.2) (PDF + 20 virtual lab hours)||14.0 hours||180 days from order date||English||792 GBP|