2024 Fall > GRAD > MSIS > MSIS 670
Enterprise Business Intelligence
Course #: MSIS 670
Description:
Enterprise Business Intelligence (BI) has become critical in all businesses for their intelligent and effective decision-making. The overarching objective of this course is to help students develop both the conceptual understanding and the practical skills of enterprise BI solutions. Through this course, particularly, students will learn how to design and implement organizational capabilities for various BI processes and their related technologies or tools, ranging from enterprise data management to advanced BI technologies (e.g., NLP, machine learning, AI). This course also helps students develop practical BI skills for data visualization. Through intensive hands-on practices and semester project engagement, students will learn how to transform business data into insightful and interactive visuals to solve specific business problems, especially by utilizing one of the most commercially successful BI tools, i.e., Tableau. Overall, the course will benefit students in the short term by helping them get highly marketable skills and in the long term by developing their understanding of data, analytics, and BI practices and solutions, which are critical for building intelligent enterprises.
Pre Requisites:
Pre-requisite = Graduate student in the College of Management
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 3820 | Tu 5:30 - 8:15 pm |
Yoon,Young Ho | McCormack M02-0208 | |
|
Session:
Regular
Class Dates:
09/03/2024 - 12/13/2024
Capacity:
35
Enrolled:
34
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-requisite = Graduate student in the College of Management
Course Attributes:
|
|||||
| 03 | 10052 | - |
Du,Kui | On-line course | |
|
Session:
Spec Prg1
Class Dates:
09/03/2024 - 12/13/2024
Capacity:
30
Enrolled:
32
Status:
Closed
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-requisite = Graduate student in the College of Management
Course Attributes:
|
|||||
| 04 | 14135 | - |
Baro,Fadimbe Olivier | On-line course | |
|
Session:
Spec Prg1
Class Dates:
09/03/2024 - 12/13/2024
Capacity:
35
Enrolled:
35
Status:
Closed
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-requisite = Graduate student in the College of Management
Course Attributes:
|
|||||