BADM 577
Spring 2022 Part of Term 1
Jan 18-May 4
Credit: 4 hours.
This course covers advanced techniques of data analytics, with an emphasis on the predictive perspective. This course provides both rationale and real-world applications of data analytics and is ideal for students seeking to extract insights from real data to support business decision-making. In particular, students will learn to: (1) mine, summarize and visualize data (2) formulate, identify, and design optimal procedure for prediction, forecast and inferential decision-making (3) uncover and quantify the influence of performance drivers with data (4) draw data-driven conclusions to create competitive advantage for businesses.
4 graduate hours. No professional credit. Credit is not given for BADM 577 and BADM 590 (47816), Section AN.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
70098
|
Lecture-Discussion
|
A
|
12:30PM
-1:50PM
|
TR
|
Business Instructional Fac
|
Ye, H
|
|
|
|
73942
|
Online
|
AO
|
12:30PM
-1:50PM
|
TR
|
n.a.
|
Ye, H
|
|