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Development of Credit Scoring Applications Using SAS(R) Enterprise Miner(TM)

  • Tuition USD $900 GSA  $725.44
  • Reviews star_rate star_rate star_rate star_rate star_half 3118 Ratings
  • Course Code CSEM42
  • Duration 1 day
  • Available Formats Classroom
This course teaches students how to build a credit scorecard from start to finish using SAS Enterprise Miner 14.2 and the methodology recommended by leading credit and financial experts.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

Skills Gained

  • use the SAS Enterprise Miner Interactive Grouping node to select the predictive variables using Information Value and calculate Weight of Evidence values
  • use the SAS Enterprise Miner Scorecard node to build a preliminary scorecard using the appropriate scaling methodology
  • perform reject inference techniques such as hard cut-off augmentation, parceling, and fuzzy augmentation using the SAS Enterprise Miner Reject Inference node in order to augment the scorecard by using rejected applicants
  • determine how well the scorecard performs using scorecard diagnostic tools such as ROC and Lift charts.

Who Can Benefit

  • Risk analysts, credit modelers, credit scorecard developers, credit managers, credit analysts, and business analysts in banks and other financial institutions who are responsible for development of scorecards and credit-scoring applications


  • Before attending this course, students should have a working knowledge of the statistics of finance and scorecard development, as well as basic skills using SAS Enterprise Miner. Students can gain knowledge of scorecard development by completing the Credit Scorecard Development and Implementation course. For skills using SAS Enterprise Miner, students should complete the Applied Analytics Using SAS® Enterprise Miner™ course or have equivalent skills.

Course Details

Scorecard Development Using SAS Enterprise Miner

  • credit scoring background
  • the scorecard development process using SAS Enterprise Miner

Accessing and Preparing Data for Scorecard Development

  • creating a SAS Enterprise Miner project and diagram
  • defining a data source
  • creating development and validation data sets

SAS Enterprise Miner Interactive Grouping Node

  • initial characteristic analysis
  • interval variable binning options (self-study)
  • special code options (self-study)
  • grouping options (self-study)

Scorecard Node

  • scorecard development
  • adverse characteristics (self-study)

Reject Inference Node

  • Reject Inference techniques using SAS Enterprise Miner
  • Reject Inference Property Panel options (self-study)

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.

Had a good time taking course with ExitCertified. The Data Science course with Python was really laid out well and it was very easy to understand and navigate. The setup using Anaconda was really good and it was easy to follow along and do the practise exercises.

The setup of the lab was quite good.
The course material is quite good as well.

Good course. Labs were well-documented, relevant, and systems performed well.

Very informative and helpful. Provided lots of extra resources and explained the process clearly.

The class was fun. It covered a lot of material. Im glad the instructor insisted on our webcams being on. In addition, you could have more pop quizzes so that the audience is attentive.

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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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