NBA 6550
Last Updated
- Schedule of Classes - September 9, 2021 7:14PM EDT
- Course Catalog - September 9, 2021 7:15PM EDT
Classes
NBA 6550
Course Description
Course information provided by the Courses of Study 2020-2021.
This course teaches the basic skills for management, manipulation, and visualization of large datasets. It is designed for business applications, and thus, features datasets and assignments related to different kinds of business data. Students will learn how to use SQL to store, manage, and query databases; construct quick and insightful multi-dimensional analyses; and use Tableau to build visualizations. Along the way, students learn basic coding skills. Students with good background in programming or SQL should not take this course. This material complements, but is not required, for the course in machine learning for business applications NBA 6920.
When Offered Spring.
Seven Week - First.
-
Credits and Grading Basis
1.5 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR Sage Graduate Hall B09
- Feb 8 - Mar 26, 2021
Instructors
Mankad, S
-
Additional Information
Instruction Mode: Hybrid-Online and In Person
The instructor for this section will be teaching Virtually Enrollment limited to: Johnson and Graduate 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. Hybrid: rotational in person attendance. You will be notified of your eligibility to attend in person and students should connect remotely until a seat is assigned. There will be no enrollment from a wait list into a class if you have a time conflict or if it will create an overload. Students dropping this course after February 15, 2021 will be assessed a fee of $100. The deadline to drop the class without a “W” is March 8, 2021 @11:59pm but you will still be charged the $100 late fee. This course is a Management Science Elective.
Seven Week - First.
-
Credits and Grading Basis
1.5 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR Breazzano Family Ctr 221
- Feb 8 - Mar 26, 2021
Instructors
Gaur, V
-
Additional Information
Instruction Mode: Hybrid-Online and In Person
The instructor for this class will be teaching Virtually Enrollment limited to: Johnson and Graduate 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. Hybrid: rotational in person attendance. You will be notified of your eligibility to attend in person and students should connect remotely until a seat is assigned. There will be no enrollment from a wait list into a class if you have a time conflict or if it will create an overload. Students dropping this course after February 15, 2021 will be assessed a fee of $100. The deadline to drop the class without a “W” is March 8, 2021 @11:59pm but you will still be charged the $100 late fee. This course is a Management Science Elective.