NBA 6920

NBA 6920

Course information provided by the Courses of Study 2019-2020.

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.  Combined with: NBA 6920

  • 1.5 Credits GradeNoAud

  • 14726NBA 6920  LEC 001

  • *Open to GM and GR Students Only* Add/Drop Dates: Johnson Students January 14th at 8:00am thru February 4th at 4:00pm with an additional Add/Drop period beginning March 11th at 8:00am to March 18th at 4:00pm. You may add or drop a second-half class after March 18th with permission of the faculty. A late fee of $100.00 will be charged for each add or drop transaction. If you are dropping after April 8th you will also receive a "W" on your transcript in addition to the late fees. Non-Johnson students may add themselves to the waitlists during the enrollment periods, however Johnson Students have priority into the classes and non-Johnsons will be enrolled: 1) IF seats are still available after Johnson students complete their enrollment period and 2) IF the instructor allows. 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.

Enrollment Information
Syllabi: none
  •   Seven Week - Second.  Combined with: NBA 6920

  • 1.5 Credits GradeNoAud

  • 19156NBA 6920  LEC 030

    • TRCornell Tech
    • Mar 11 - May 5, 2020
    • Mankad, S

  • Instruction Mode: Distance Learning-Synchronous
    This section streamed from Ithaca to New York Tech Campus.