NBA 6550

NBA 6550

Course information provided by the 2017-2018 Catalog.

This course teaches the basic skills for acquisition, management, and visualization of large datasets. Students will learn how to collect datasets from the web; use SQL to store, manage, and query databases; construct quick and insightful multi-dimensional visualizations; and use R to clean and manipulate data. This material complements, but is not required, for the course in advanced methods in data analytics NBA 6920.


When Offered Spring.

View Enrollment Information

Syllabi: none
  •   Seven Week - First. 

  • 1.5 Credits GradeNoAud

  • 15779 NBA 6550   LEC 001

  • Instruction Mode: In Person

    *Johnson and Grad Students Only* This course teaches the basic skills for acquisition, management, and visualization of large datasets. Students will learn how to collect datasets from the web; use SQL to store, manage, and query databases. Add/Drop Dates: Johnson Students – January 16th at 8:00am to February 7th at 4:00pm. Non-Johnson Students: February 1st at 8:00am to February 7th at 4:00pm. You may add or drop a first-half class after February 7th 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 February 21st 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 their 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.