Survival Data Mining: A Programming Approach

This advanced course discusses 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.

Location: Live Web
Date: 10-13 SEP 2024
Time: 01:00 PM-04:30 PM EDT
Language: English
Fee: 2,000 USD

 

Frequently Asked Questions

One seat in your classroom or live web course along with 12 month access to the e-learning version (if available) to practice after class. The course includes course materials pdf and hands-on virtual labs to practice in the software. You will also have the option to accept a digital, shareable badge upon completion of the course.
Yes, if an e-Learning version of the course is available, it is included with your classroom or live web course. Your 12-month e-Learning access will start after you’ve completed the course.
Yes, hands-on labs are included to practice if available for the course.
Yes. Schedule private team training exclusively for your team either virtually or in-person, at your location or ours.
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View technical requirements and learn what to expect as a student.