Multivariate Statistics and Regression Analysis
Course #: MSIS 642
Description:
The goal of this course is to develop statistical data analysis skills in business analytics applications. The content of this course covers multivariate statistics which analyzes problems in which multiple variables are simultaneously present and various regression applications for business, such as simple linear regression, multiple regression, and logistic regression etc., and also how to solve various issues that we might face during those applications. This course will be the foundation for applied quantitative research for business analysts and business researchers. Our main goal is to identify the signal or key features of the data. The course will cover the major techniques in this field. The focus will be on practical issues such as selecting the appropriate approach and how to prepare the data.
Pre Requisites:
Offered in:
2023 Fall
Section | Class Number | Schedule/Time | Instructor | Location | |
---|---|---|---|---|---|
01 | 2975 | Tu 5:30 - 8:15 pm |
Wu,Tong | University Hall Y04-4170 | |
Session:
Regular
Class Dates:
09/05/2023 - 12/13/2023
Capacity:
35
Enrolled:
34
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Course Attributes:
|
2024 Fall
Section | Class Number | Schedule/Time | Instructor | Location | |
---|---|---|---|---|---|
01 | 2878 | Tu 5:30 - 8:15 pm |
Wu,Tong | Wheatley W01-0041 | |
Session:
Regular
Class Dates:
09/03/2024 - 12/13/2024
Capacity:
35
Enrolled:
11
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Course Attributes:
|
2024 Spring
Section | Class Number | Schedule/Time | Instructor | Location | |
---|---|---|---|---|---|
01 | 8086 | Tu 5:30 - 8:15 pm |
Wang,Yuchen | McCormack M03-0407 | |
Session:
Regular
Class Dates:
01/22/2024 - 05/08/2024
Capacity:
35
Enrolled:
35
Status:
Closed
Credits:
3/3
Class Notes:
Pre Requisites:
Course Attributes:
|
|||||
02 | 9570 | F 1:00 - 3:45 pm |
Wang,Yuchen | University Hall Y04-4160 | |
Session:
Regular
Class Dates:
01/22/2024 - 05/08/2024
Capacity:
35
Enrolled:
28
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Course Attributes:
|