NBA 6550

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  • Schedule of Classes - September 10, 2024 10:17AM EDT
  • Course Catalog - September 10, 2024 9:19AM EDT
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NBA 6550
Business Data Analysis with SQL

Course information provided by the Courses of Study 2023-2024.

We live in an age of data abundance. Vast amounts of data are being collected and analyzed to inform decision-making. Introductory knowledge of SQL database systems is a requirement for most business management roles. The objectives of this course are firstly, to build from scratch your ability to write SQL code in order to retrieve, clean, and organize datasets stored in databases, and secondly, to expose you to different kinds of business datasets and potential uses. In other words, this is a unique SQL course targeted at business students. Students with a good programming background should not take this course.

When Offered Spring, Summer.

View Enrollment Information

Syllabi: none

  •   Seven Week - First. 

  • 1.5 Credits GradeNoAud

  • 11283 NBA 6550   LEC 001

  • Enrollment limited to: MBA and Graduate Students Only. Masters in Engineering students are not eligible to enroll. 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: January 16th - January 29th Deadline to drop January 29, 2024, at 11:59pm. Permission from faculty required to add/drop after January 29th. A late fee of $100.00 will be charged after January 29th. Deadline to drop without “W” is February 19th. After this date, "W" grade on your transcript in addition to the late fees. This course counts as a Management Science Elective.

    Instructor Consent Required (Add)

Syllabi: none

  •   Seven Week - First. 

  • 1.5 Credits GradeNoAud

  • 11307 NBA 6550   LEC 002

  • Enrollment limited to: MBA and Graduate Students Only. Masters in Engineering students are not eligible to enroll. 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: January 16th - January 29th Deadline to drop January 29, 2024, at 11:59pm. Permission from faculty required to add/drop after January 29th. A late fee of $100.00 will be charged after January 29th. Deadline to drop without “W” is February 19th. After this date, "W" grade on your transcript in addition to the late fees. This course counts as a Management Science Elective.

    Instructor Consent Required (Add)