NBA 6920

Last Updated

  • Schedule of Classes - June 2, 2019 7:14PM EDT
  • Course Catalog - June 2, 2019 7:15PM EDT

NBA 6920
Advanced Data Analytics Applications and Methods

Course information provided by the Courses of Study 2018-2019.

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.

View Enrollment Information

Syllabi: none

  •   Seven Week - Second.  Combined with: NBA 6920

  • 1.5 Credits GradeNoAud

  • 14683 NBA 6920   LEC 001

  • *GM and GR Students Only* Add/Drop Dates: Johnson Students January 15th at 8:00am thru February 5th at 4:00pm with an additional Add/Drop period beginning March 13th at 8:00am to March 18th at 4:00pm. Non-Johnson Students: March 15th at 8:00am to March 18th 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.

    Department Consent Required (Add)

Syllabi: none

  •   Seven Week - Second.  Combined with: NBA 6920

  • 1.5 Credits GradeNoAud

  • 18286 NBA 6920   LEC 002

  • Instruction Mode: Distance Learning-Synchronous
    Taught in NYC. Class will be streamed from Ithaca.

    Department Consent Required (Add)