Call Number | 14464 |
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Day & Time Location |
M 6:00pm-9:15pm 420 Kravis Hall |
Points | 1.5 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Shawndra Hill |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | This course is for students who want to learn how to manage data scientists and data science projects. This course connects real-world data on consumers and firms to decision-making and marketing management. The course will cover many real-world marketing examples to illustrate applications of methods used in data science. The use of real-world examples and cases places these techniques in context and teaches students how to avoid the common pitfalls of data science management, emphasizing the proper application of data science techniques and pipelines. In addition, the course focuses on the unique requirements for managing data science teams and projects. This course covers the considerations that go into starting and completing data successful data science projects in both small and large firms. |
Web Site | Vergil |
Department | MARKETING |
Enrollment | 33 students (74 max) as of 9:06AM Saturday, December 7, 2024 |
Subject | Marketing |
Number | B8633 |
Section | 001 |
Division | School of Business |
Open To | Business, Engineering:Graduate, Journalism |
Section key | 20241MRKT8633B001 |