BZAN 8445 Data Visualization
This course covers foundations of data visualization and best practices to help students effectively analyze data and present their insights clearly in a way that will engage their audience. The course provides discussions and presentations on topics such as visual perception, the various chart types and when to use them, the effective use of colors, typography, maps, and other visualization techniques for incorporating analytics and storytelling, and teaches through many examples of compare and contrast. The conceptual discussions will be integrated with hands-on experience using Tableau. STEM-designated. This course was formerly numbered: ISYS8445
Course overview
- Department
- Business Analytics
- School
- CSOM
- Credits
- 3
- Level
- Graduate
Course evaluations
- Course rating
- 3.65 / 5 · Very Good
- Instructor rating
- 3.93 / 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Anna Karpovsky | 3.6 | 4.0 | 4.3 | 4.5 | 4.4 | 4.3 | 4.2 | 4.4 | 4–6 hrs/week | 32 of 35 |
| Fall 2025 | Anna Karpovsky | 3.5 | 3.7 | 4.2 | 4.0 | 4.3 | 4.0 | 4.1 | 4.1 | 4–6 hrs/week | 30 of 35 |
| Summer 2025 | Anna Karpovsky | 3.7 | 4.1 | 4.4 | 4.4 | 4.5 | 4.3 | 4.3 | 4.3 | — | 23 of 24 |
| Spring 2025 | Anna Karpovsky | 4.1 | 4.1 | 4.7 | 4.8 | 4.6 | 4.5 | 4.5 | 4.4 | 4–6 hrs/week | 33 of 35 |
| Fall 2024 | Anna Karpovsky | 3.4 | 3.8 | 4.4 | 4.2 | 4.2 | 4.2 | 4.2 | 3.9 | 4–6 hrs/week | 35 of 38 |