BZAN 7718 Data Analytics 3: In Practice
Modern information systems now generate massive volumes of data. Organizations everywhere struggle to aggregate, analyze, and monetize the growing deluge of data. Business Analytics capitalizes on this data by combining statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management. Managers can explore patterns, predict future trends and develop proactive, knowledge-driven decisions that affect all parts of modern organizations. This course provides students with a pragmatic familiarity with the capabilities and limitations of emerging analytics techniques, an introduction to Python, an overview of methods and tools, and a core understanding required to be an intelligent manager, designer and consumer of analytics models. STEM-designated This course was formerly numbered: ISYS7730
Course overview
- Department
- Business Analytics
- School
- CSOM
- Credits
- 2
- Level
- Graduate
Course evaluations
- Course rating
- 4.61 / 5 · Excellent
- Instructor rating
- 4.64 / 5 · Excellent
- Terms evaluated
- 2
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 (midterm) | Jonathan Beebe | 4.7 | 4.8 | 4.9 | 4.9 | 4.7 | 4.9 | 4.7 | 4.6 | 4–6 hrs/week | 70 of 74 |
| Spring 2025 (midterm) | Jonathan Beebe | 4.5 | 4.5 | 4.8 | 4.7 | 4.4 | 4.6 | 4.5 | 4.3 | 4–6 hrs/week | 82 of 89 |