BZAN 7708 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: ISYS7705
Course overview
- Department
- Business Analytics
- School
- CSOM
- Credits
- 3
- Level
- Graduate
- Offered
- Every Fall, Every Spring
Catalog details
Course evaluations
- Course rating
- 4.47 / 5 · Very Good
- Instructor rating
- 4.73 / 5 · Excellent
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Jonathan Beebe | 4.2 | 4.5 | 4.6 | 4.7 | 4.5 | 4.4 | 4.3 | 4.5 | 4–6 hrs/week | 31 of 31 |
| Fall 2025 | Jonathan Beebe | 4.4 | 4.6 | 4.8 | 4.8 | 4.7 | 4.7 | 4.5 | 4.4 | 4–6 hrs/week | 35 of 38 |
| Summer 2025 | Jonathan Beebe | 4.5 | 4.7 | 4.9 | 4.9 | 4.7 | 4.8 | 4.3 | 4.8 | 7–9 hrs/week | 36 of 41 |
| Spring 2025 | Jonathan Beebe | 4.5 | 4.8 | 4.9 | 4.8 | 4.7 | 4.7 | 4.5 | 4.5 | 4–6 hrs/week | 34 of 34 |
| Fall 2024 | Jonathan Beebe | 4.7 | 4.9 | 4.9 | 4.9 | 4.7 | 4.9 | 4.7 | 4.6 | 4–6 hrs/week | 34 of 38 |