ADIT 2250 Data Visualization
In today's information age with ever pressing demand for data skills, data visualization becomes a critical component of data science. By utilizing visual presentations, data visualization achieves an effective way of communicating insights from data, identifying hidden data patterns and trends, and telling the full story behind data. In this course, students are introduced to the foundations of data visualization along with various data visualization tools. We will introduce the key design principles, how to present data using a number of common data visualization tools (such as Excel and Tableau software). This course will provide students from all backgrounds the opportunity to learn data skills and have hands-on experience working with various datasets, creating visualizations and telling data stories. Students will develop data visualization skills that can be applied to their fields of study and future career. Topics covered include best practices in use of color, visualization principles, static and interactive visualizations, visualization types, and others.
Course overview
- Department
- Advancing Studies
- School
- ADV
- Credits
- 4
- Level
- Undergraduate
- Offered
- Periodically in the Fall, Periodically in the Spring, Periodically in the Summer
Course evaluations
- Course rating
- 4.21 / 5 · Very Good
- Instructor rating
- 4.56 / 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 | Antonio LoPiano | 4.2 | 5.0 | 4.8 | 4.8 | 4.8 | 4.7 | 4.7 | 4.7 | 7–9 hrs/week | 6 of 9 |
| Spring 2025 | Antonio LoPiano | 4.2 | 4.5 | 4.3 | 4.4 | 4.5 | 4.7 | 4.6 | 4.3 | 4–6 hrs/week | 23 of 25 |