BZAN7706 · Business Analytics
Carroll School of Management
| Term | Evaluations | Course rating | Instructor rating |
|---|---|---|---|
| Spring 2025 | 2 | 4.1 | 4.5 |
| Fall 2024 | 2 | 4.5 | 4.6 |
| Summer 2024 | 1 | 4.2 | 4.6 |
| Spring 2024 | 2 | 4.4 | 4.6 |
| Fall 2023 | 2 | 4.2 | 4.5 |
| Summer 2023 | 1 | 3.9 | 4.3 |
| Spring 2023 | 2 | 4.2 | 4.5 |
| Fall 2022 | 2 | 4.0 | 4.2 |
| Summer 2022 | 1 | 3.7 | 4.0 |
4 evaluations for this course
Machine Learning, big data, data mining, predictive analytics. These are what the course covers. They consist of the creation and use of mathematical computer models to predict important quantities and events with uncanny accuracy. As one book put it, "Who clicks, who buys, and who dies." The course teaches both the principles and the details of the major methods of making and applying these models to actual business problems. To produce models on the computer, students also learn the R coding language. This is the preferred high-level software for Machine Learning and statistical applications.STEM-designated
Estimated from the original workload response buckets. Individual sections may differ.
| Spring 2022 | 2 | 3.9 | 4.2 |
| Fall 2021 | 3 | 4.0 | 4.1 |
| Summer 2021 | 1 | 4.2 | 4.7 |
| Spring 2021 | 2 | 4.0 | 4.4 |
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