An introduction to the interpersonal techniques of statistical consulting, including methodologies for data analysis common to many consulting problems and ethics, in the context of the cycle of Problem, Plan, Data, Analysis and Conclusion. 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. Note: This course is restricted to students enroled in the Honours Specialization module in Data Science.