BMGT430

Data Modeling in Business

Reviews for this course Testudo

Prerequisite: BMGT231 or BMGT230; or permission of BMGT-Robert H. Smith School of Business. Explores the role of statistical models in business analytics to drive managerial decision-making and improve performance through the use of relevant data-motivated examples. Topics include regression models (both simple and multiple regression, as well as logistic regression for binary data), model validation, variable transformation, variable selection, discriminant analysis, and forecasting. These topics are modeled using state-of-the-art data analytics software. Restricted to BMGT majors with 72 credit hours completed or Business Analytics minors.

Sister Courses: BMGT430F

Fall 2024

Radu Lazar

79 reviews
Average rating: 3.24

Spring 2024

Radu Lazar

79 reviews
Average rating: 3.24

Fall 2023

Radu Lazar

79 reviews
Average rating: 3.24

Spring 2023

Radu Lazar

79 reviews
Average rating: 3.24

Past Semesters

Francis Alt

11 reviews
Average rating: 3.73

Kazim Ruhi

37 reviews
Average rating: 3.05

He Chen

0 reviews
Average rating: N/A

Radu Lazar

79 reviews
Average rating: 3.24

Courtney Paulson

0 reviews
Average rating: N/A

Shawn Mankad

0 reviews
Average rating: N/A

Radu Lazar

79 reviews
Average rating: 3.24

Radu Lazar

79 reviews
Average rating: 3.24

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.