Commerce
Data Visualization and Business Analytics
3 credits
Descriptive analytics including data analysis and visualization. Predictive analytics including forecasting and various statistical techniques. Predictive analytics including optimization, Monte Carlo simulation, decision trees, and discrete event simulation.
Average
78.5%
Students
1448
Sections
34
Grade distribution. <50: 2, 50-54: 6, 55-59: 15, 60-63: 30, 64-67: 65, 68-71: 113, 72-75: 192, 76-79: 242, 80-84: 381, 85-89: 242, 90-100: 126.
Historical Averages
2016–2025
Lowest section avg
74.7%
Highest section avg
85.4%
Terms offered
10
Some grade ranges were withheld by UBC to protect student privacy and are not shown above.
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 101 | Lecture | Open | Tue 17:00-18:30, Thu 17:00-18:30 | Cecilia Wang |
| 102 | Lecture | Open | Tue 14:00-15:30, Thu 14:00-15:30 | Laurel Xiao |
| 103 | Lecture | Full | Tue 15:30-17:00, Thu 15:30-17:00 | Cecilia Wang |
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