This course provides an introduction to business intelligence and analytics, defined as the extensive use of data, statistical and quantitative analysis, exploratory and predictive models, and fact-based management to drive decisions and actions. The development and use of data warehouses and data marts, and the application of selected data (including text and web) mining techniques to business decision making is illustrated. Students actively participate in the delivery of the course through case and project presentations.
Weekly Contact: Lab:1 hr. Lecture:2 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
[ITM 207 and (QMS 102 or QMS 210)] or in the two-year Business Technology Management Ontario College Diploma Graduate Program
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.