Data Analytics

Undergraduate

Methods and technologies surrounding the capture of organizational data; the preparation and modelling of that data to identify patterns, make predictions, or inform decision making. Topics include: the data analytics process, data warehousing, data engineering, data visualization, data mining and machine learning. (1h lab). Prerequisite(s): COMP 2113, COMP 2103, MATH 1253 or MATH 2213/2223, and MATH 1413 or MATH 1313, each with a minimum grade of C-.