NBA 6920

Course information provided by the Courses of Study 2016-2017.

Learn the diverse data mining techniques used in business applications to recognize patterns and make intelligent use of large amount of data. This includes logistic regression, classification trees, clustering and more.   Get a sense of the range of applications of data mining techniques in business, healthcare, and elsewhere, gain hands-on experience through realistic samples and a project using real data.

When Offered Spring.

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Enrollment Information
Syllabi: none
  •   Seven Week - Second. 

  • 1.5 Credits GradeNoAud

  • 15460NBA 6920  LEC 001

  • *GM and GR Students Only* Non-Johnson students must see their college registrar regarding policies connected with adding/dropping a second half Johnson School class. A petition may be required. Add/Drop Dates: Johnson Students – March 20th – March 27th Non-Johnson Students – March 24th – March 27th You may add or drop a second-half class after March 27th only with permission of the faculty. A late fee of $100.00 will be charged to your bursar account, for each add or drop transaction. If you are dropping after April 17th you will also receive a “W” on your transcript in addition to the late fee.