An introduction to data analytics consulting in the context of Problem, Plan, Data, Analysis and Conclusion, including interpersonal techniques; communication; teamwork; project management; copyright, intellectual property, compensation and negotiation; robust data analysis; and ethics. A large portion of the course will be conducted in a seminar format with student participation.
Prerequisite(s):Statistical Sciences 3859A/B with at least 60%. Registration in fourth year of the Honours Specialization in Data Science or Honours Specialization in Statistics modules.
Extra Information: 3 lecture hours.
Course Weight: 0.50
Subject Code: STATS
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