Students examine the organizational goals and value provided by analytics and big data systems and processes. They learn the terminology and operating principles of these powerful technologies, as well as the planning aspects to implement them. Studies include: analytics as it applies to various business needs, predictive analytics and the role of statistical analysis and modelling, visualization, the concepts of business intelligence and decision support. Students also examine aspects of data management to facilitate analytics: data cleansing, the concepts of ETL (Extract, Transform, Load) systems, the role of big data technologies and the new dimensions of data management and insight they provide. Students review the goals and roles of the stakeholders involved in analytics projects as well as key planning aspects for these projects.
Have you taken this course or an equivalent course? Contact the Credit Transfer Office.
Not all courses are offered each term.
Spring 2026 registration is open.In person: classes held in person on a campus/site in a classroom/lab/shop/studio for the course duration
Online - Asynchronous: 100% online delivery, no scheduled day or time course requirements with the instructor, assigned due dates
Online - Synchronous: 100% online delivery, scheduled day and time course requirements with the instructor, assigned due dates
Hybrid: any combination of in person, timetabled, on campus, online, and hyflex delivery