NBA 6070

NBA 6070

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

This course will help Johnson students to gain the necessary skills of building a data product. Many industries today are faced with high data volumes and there is an understanding that "data is the new gold". But value is not created by data; rather, it is created by the application of data for a B2B or B2C need. To link the possibilities of data to business needs is a skill that is highly in demand in today's business world. This course aims to fill the current skill gap by educating students with the basic data skills that are needed in order to guide an organization to become data-centric and potentially create data products. Classes will be a combination of lectures, discussions, and hands on training with data. The students will build their own predictive model, without the need to directly write code.

When Offered Spring.

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Syllabi: none
  •   Regular Academic Session. 

  • 1.5 Credits GradeNoAud

  • 13338 NBA 6070   LEC 001

  • GM and Grad Students Only Students can drop after the FIRST CLASS ONLY - by sending an email to the Johnson School Registrar's Office at gm-registrar@cornell.edu. There is a late fee of $100.00 for each add or drop transaction after the 1st class meeting. You will receive a "W" on your transcript in addition to the late fees after the 1st class meeting. Add/Drop Dates: Johnson Students – January 17th – February 8th. Non-Johnson Students – February 2nd – February 8th

Syllabi: none
  •   Regular Academic Session. 

  • 1.5 Credits GradeNoAud

  • 13369 NBA 6070   LEC 002

  • GM and Grad Students Only Students can drop after the FIRST CLASS ONLY - by sending an email to the Johnson School Registrar's Office at gm-registrar@cornell.edu. There is a late fee of $100.00 for each add or drop transaction after the 1st class meeting. You will receive a "W" on your transcript in addition to the late fees after the 1st class meeting. Add/Drop Dates: Johnson Students – January 17th – February 8th. Non-Johnson Students – February 2nd – February 8th