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.
Not all courses are offered each term.Fall 2022 registration opens July 25, 2022. Winter 2023 registration opens November 28, 2022.
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 with no assigned day or time requirements, independent course completion
Online - Synchronous: 100% online delivery with scheduled day and time course requirements
Hybrid: any combination of: in person, timetabled, on campus, online, and hyflex delivery