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Data Mining: Principles and Best Practices

  • Tuition USD $2,475 GSA  $2,244.33
  • Reviews star_rate star_rate star_rate star_rate star_half 2006 Ratings
  • Course Code BELDR
  • Duration 3 days
  • Available Formats Classroom
Data mining is an advanced science that can be difficult to do correctly. This course introduces you to the power and potential of data mining and shows you how to discover useful patterns and trends from data. Valuable practical advice, acquired during years of real-world experience, focuses on how to properly build reliable predictive models and interpret your results with confidence. Examples are drawn from several industries, including credit scoring, fraud detection, biology, investments, and cross-selling.

Skills Gained

  • identify projects with a high probability of success
  • translate a business problem into a closely related set of technical tasks
  • transform raw data to create higher-order features that reveal information
  • build models using powerful nonlinear techniques, such as decision trees and neural networks
  • use multiple re-sampling techniques to avoid overfit and predict how well models will perform in actual use
  • interpret and validate modeling results
  • become aware of the top analytic mistakes and how to avoid them.

Who Can Benefit

  • Those who have a strong interest in solving a business problem, and who have a technical background, especially familiarity with computer programming and statistics


  • Before attending this course, you should
  • have experience with basic modeling, such as regression
  • preferably, have prior exposure to Base SAS coding, though it is not required
  • preferably have exposure to SAS Enterprise Miner, though it is not required.

Course Details

Executive Summary

  • introduction, executive summary of data mining
  • SAS Enterprise Miner as a data mining platform

Learning Strategies

Machine Learning Algorithms I

Model Application

  • mining process
  • fraud detection
  • cumulative response charts
  • cutoff thresholds

Model Validation

  • ways models fail
  • out-of-time test sample
  • overfit
  • cross validation

Machine Learning Algorithms II

  • neural networks
  • target shuffling
  • regression models
  • decision trees


  • ensembles
  • weaknesses of a single model
  • bagging and boosting
  • academic example: trees with bags of five versus eight nodes
  • real-world example: credit scoring

Top Ten Data Mining Mistakes

Visualization (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.

Very good course to get insights on spring framework. It would have been more helpful if reactive services were included in the course.

Course material is good, trainer is good. Suggest to review course coverage vis-a-vis the training timeline. For this one it seems coverage is more for 2 days.

Our instructor Mohammad Meimandi was a great resource. He helped clarify a lot of concepts. Overall I liked the Quiklabs as they offered a great hands-on experience to drive the concepts.

A lot of information for a short amount of time, but organized in a manner that's digestible. The labs are extremely helpful, and kind of fun.

They have been absolutely fantastic to work with, from the moment I first made contact. James, my sales contact, has been one of the most responsive people I've worked with, pretty much ever! :)

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