Provides a framework for students to initiate, perform and successfully complete a real-world project in Data Science and Analytics. This includes problem identification and formulation; discussion of legal, social, and ethical issues in data-driven projects; holistic processing and application of data; communication and data storytelling skills as well as leadership skills. In addition, students will be exposed to emerging topics in Data Science and Analytics.
This course may not be repeated for credit.
Prerequisite(s)
- Admission to the Master of Data Science and Analytics and 24 units in 600-level Data Science courses.
Sections
| LEC 1 | US 09:00 - 12:30 MTWRF 18:00 - 20:00
| | Jim Stallard | | |
| Notes:
Please see course outline for details |
| LEC 2 | US 09:00 - 12:30 MTWRF 18:00 - 20:00
| | Jim Stallard | | |
| Notes: Please refer to your Student Centre for fees associated with this class. This information will be available before the first day of classes. |
This course will be offered next in
Fall 2023.