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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
MKT 6337 Sourav Chatterjee | |||||
B | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
MKT 6337 Sourav Chatterjee | |||||
B | |||||
Sourav Chatterjee
[email protected]Grades: 923
Median GPA: A-
Mean GPA: 3.484
4
Professor rating
3.6
Difficulty
12
Ratings given
83%
Would take again
Predictive Analytics for Data Science
MKT 6337
Naveen Jindal School of Management
This course is designed to provide students with in-depth knowledge of the data-driven analytical techniques used in data-driven decision-making, especially in marketing. Students analyze data from real-world datasets to make managerial decisions. These Data-Science methods are commonly employed in online marketing, retail, and financial services. Students will acquire knowledge about the methods and software that are used to understand issues such as who the profitable segments/customers are, how to acquire them, and how to retain them. The tools can also be used to manage data-driven decisions from consumer purchase behavior to firms' policy settings such as pricing and branding. 3 credit hours.
Prerequisite: OPRE 6301 or BUAN 6359 or OPRE 6359.
Offering Frequency: Each semester
Grades: 297
Median GPA: B+
Mean GPA: 3.407
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Sourav Chatterjee
[email protected]Grades: 923
Median GPA: A-
Mean GPA: 3.484
4
Professor rating
3.6
Difficulty
12
Ratings given
83%
Would take again
Predictive Analytics for Data Science
MKT 6337
Naveen Jindal School of Management
This course is designed to provide students with in-depth knowledge of the data-driven analytical techniques used in data-driven decision-making, especially in marketing. Students analyze data from real-world datasets to make managerial decisions. These Data-Science methods are commonly employed in online marketing, retail, and financial services. Students will acquire knowledge about the methods and software that are used to understand issues such as who the profitable segments/customers are, how to acquire them, and how to retain them. The tools can also be used to manage data-driven decisions from consumer purchase behavior to firms' policy settings such as pricing and branding. 3 credit hours.
Prerequisite: OPRE 6301 or BUAN 6359 or OPRE 6359.
Offering Frequency: Each semester
Grades: 297
Median GPA: B+
Mean GPA: 3.407
Click a checkbox to add something to compare.