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Survival Data Mining: A Programming Approach

  • Tuition USD $1,200 GSA  $1,088.16
  • Reviews star_rate star_rate star_rate star_rate star_half 3224 Ratings
  • Course Code FBMCE
  • Duration 1 day
  • Available Formats Classroom
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. The structure of this courses allows for a personalized learning experience through a combination of instructor-led class time and structured self-study. The course consists of classroom instruction, digital course notes, case studies with solutions, virtual lab with software for practice, and a half-day Live Web session to discuss questions about the material during the course.

What's included?

  • one day in class to cover key topics
  • case studies with solutions posted online
  • half-day Live Web review session
  • access to a SAS instructor for questions
  • online forum for support.

Skills Gained

  • build models for time-dependent outcomes derived from customer event histories
  • account for competing risks, time-dependent covariates, censoring, and truncation
  • use techniques to model current status data and to evaluate the predictive performance of the model.

Who Can Benefit

  • Predictive modelers, data analysts, statisticians, econometricians, model validators, and data scientists


  • Before attending this course, you should
  • have experience with predictive modeling, particularly with logistic regression
  • be familiar with statistical concepts such as random variables, probability distributions, and parameter estimation
  • be comfortable working with summation notation, vectors, matrices, and analytic geometry
  • have SAS programming proficiency.

Course Details

Survival Data

  • time-dependent outcomes derived from customer event histories
  • features of the event-time distribution such as competing risks, time-dependent covariates, censoring, and truncation
  • basic nonparametric estimation of the hazard and distribution functions

Flexible Parametric Hazard Models

  • multinomial logistic regression for right censored data
  • regression spline and neural network modeling
  • adaptations for large data sets

Modeling Current Status Data

  • simple models for reduced sample data
  • powerful models for cross-sectional data

Predictive Performance

  • predictive scoring
  • estimating the mean residual lifetime
  • empirical validation using concentration curves

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

Good Course. We covered a lot of material in a short amount of time. This course had useful labs that built upon each other.

I found this course very helpful as an overview of how AWS Services work together.

I am overall very impressed with ExitCertified/Tech Data regarding the Spring Core class outline and iMVP delivery format.

the professor was very clean and help students wih the labs when needed, Thank you.

all tech worked well, very well organized with awesome instructor and content. learned a lot.

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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