BZAN 7716 Data Analytics 1: Model Building
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
Course overview
- Department
- Business Analytics
- School
- CSOM
- Credits
- 2
- Level
- Graduate
- Offered
- Every Fall
Catalog details
- Prerequisites
- BZAN7703
Course evaluations
- Course rating
- 3.72 / 5 · Very Good
- Instructor rating
- 3.99 / 5 · Very Good
- Terms evaluated
- 5
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2025 (midterm) | Jiri Chod | 4.3 | 4.6 | 4.7 | 4.6 | 4.6 | 4.5 | 4.4 | 4.6 | 1–3 hrs/week | 45 of 76 |
| Fall 2024 | Jiri Chod | 4.0 | 4.3 | 4.4 | 4.4 | 4.4 | 4.1 | 4.3 | 4.3 | 1–3 hrs/week | 92 of 94 |
| Fall 2023 (midterm) | Jiri Chod | 3.6 | 3.9 | 4.3 | 4.2 | 4.3 | 4.1 | 4.1 | 4.3 | 1–3 hrs/week | 82 of 86 |
| Fall 2022 (midterm) | Jiri Chod | 2.9 | 3.2 | 3.5 | 3.6 | 4.2 | 3.9 | 3.8 | 4.3 | 4–6 hrs/week | 74 of 75 |
| Fall 2021 (midterm) | Pieter Vanderwerf | 4.0 | 4.2 | 4.4 | 4.5 | 4.4 | 4.0 | 4.3 | 4.2 | 1–3 hrs/week | 56 of 97 |