Data Science
Visualization for Data Science
3 credits
Analysis, design, and implementation of static and interactive visual representations; visualization literacy; data communication; exploratory Data Analysis; application of theoretical principles to visualization development. [3-1.5-0]
Average
83.1%
Students
276
Sections
4
Grade distribution. <50: 3, 50-54: 0, 55-59: 1, 60-63: 1, 64-67: 8, 68-71: 12, 72-75: 23, 76-79: 27, 80-84: 58, 85-89: 71, 90-100: 72.
Historical Averages
2022–2025
Lowest section avg
79.8%
Highest section avg
88.8%
Terms offered
4
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 101 | Lecture | Open | Mon 15:30-17:00, Wed 15:30-17:00 | Oluwakemi Ola |
| L1A | Laboratory | Open | Tue 15:00-16:30 | — |
| L1B | Laboratory | Full | Tue 17:00-18:30 | — |
| L1C | Laboratory | Open | Thu 15:00-16:30 | — |
| L1D | Laboratory | Open | Thu 11:00-12:30 | — |
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