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MKT 823 (Course) - Grade Details

(with breakdown by semester)

Course Title: Applications in Predictive Analytics

Course Description: Advanced quantitative methods for marketing research. Focuses on marketing research methods for enhancing predictive models in marketing research. Includes multivariate statistical methods such as factor analysis, cluster analysis, multidimensional scaling, conjoint analysis, and other approaches. Emphasis on applications of these techniques using statistical analysis software.


MKT 823 - All Semesters

Average Grade - 3.972
Median Grade - 4.0
109 total students

Latest grades from Spring 2023

MKT 823 - Overview

Semester Grade Info
Spring 2020 Average Grade - 3.983
Median Grade - 4.0
Spring 2021 Average Grade - 4.000
Median Grade - 4.0
Spring 2022 Average Grade - 3.913
Median Grade - 4.0
Spring 2023 Average Grade - 3.977
Median Grade - 4.0

Back to Overview for MKT 823

Spring 2023

Average Grade - 3.977
Median Grade - 4.0
22 total students

Back to Overview for MKT 823

Spring 2022

Average Grade - 3.913
Median Grade - 4.0
23 total students

Back to Overview for MKT 823

Spring 2021

Average Grade - 4.000
Median Grade - 4.0
34 total students

Back to Overview for MKT 823

Spring 2020

Average Grade - 3.983
Median Grade - 4.0
30 total students


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