Relevant measurable metrics of a project; data interpretation techniques; introduction to data visualization; overview of big data and predictive analytics; strategies related to metrics and data, ethical and privacy concerns. Collaboratively delivered with the Faculty of Commerce and Business Administration. This course is not eligible for Credit/D/Fail grading.
Relevant measurable metrics of a project; data interpretation techniques; introduction to data visualization; overview of big data and predictive analytics; strategies related to metrics and data, ethical and privacy concerns. Collaboratively delivered with the Faculty of Commerce and Business Administration. This course is not eligible for Credit/D/Fail grading.
