ADBM 1771 Applied Data Analysis and Interpretation
This course will introduce students to the basics of data analysis and interpretation. Students will critically engage with actual data from across disciplines in order to develop their own interpretations of the underlying meaning. We will explore how these skills can apply to making decisions in academic, professional, and community contexts. The skills developed and practiced here will assist the students in critically evaluating and drawing meaning from data as well as making well-informed decisions from that data.
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
- 3.66 / 5 · Very Good
- Instructor rating
- 3.96 / 5 · Very Good
- Terms evaluated
- 8
| 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 | Rahat Sabyrbekov | 4.5 | 4.5 | 4.8 | 4.9 | 4.5 | 4.7 | 4.7 | 4.5 | — | 11 of 18 |
| Spring 2025 | Tristan Johnson | 3.3 | 3.8 | 3.7 | 4.0 | 3.9 | 4.0 | 4.0 | 4.1 | 7–9 hrs/week | 10 of 17 |
| Fall 2024 | Tristan Johnson | 3.2 | 3.4 | 3.6 | 4.0 | 4.0 | 4.0 | 4.4 | 3.4 | 1–3 hrs/week | 5 of 9 |
| Spring 2024 | Tristan Johnson | 3.6 | 3.5 | 4.3 | 4.3 | 4.4 | 4.3 | 4.3 | 3.6 | 4–6 hrs/week | 13 of 19 |
| Fall 2023 | Tristan Johnson | 4.5 | 4.8 | 4.5 | 4.5 | 4.6 | 4.8 | 4.8 | 4.9 | 4–6 hrs/week | 8 of 15 |
| Spring 2023 | Tristan Johnson | 3.5 | 3.6 | 4.0 | 4.1 | 4.1 | 4.3 | 3.8 | 4.0 | — | 8 of 13 |
| Fall 2022 | Tristan Johnson | 3.5 | 4.1 | 3.2 | 3.7 | 4.3 | 4.2 | 4.1 | 4.4 | 4–6 hrs/week | 11 of 17 |
| Fall 2021 | Daniel Hay | 3.1 | 4.1 | 4.6 | 4.3 | 4.6 | 3.9 | 4.0 | 3.2 | 4–6 hrs/week | 9 of 18 |
Data freshness
Instructors
Sections
- Section 01
- Section 11
- Section 01