Course description

Analytics refers to the ways in which organizations use data to gain insights that lead to fact-based management that drive decisions and actions. Managers are currently faced with data that has high volume, variety, and velocity and the interpretation of this data has become an essential skill for business managers. The three major areas of business analytics explored in this course are reporting, visualization and prediction, all of which are key to sound business decisions under uncertainty. Students will utilize current analytics technologies to create reports, scorecards, and dashboards through guided exercises and case studies involving global companies. In addition, the topics of IoT (Internet of Things) and Big Data will also be explored.

Course details

Hours: 42
Credits: 3
Prerequisites: None
Corequisites: None

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This course is part of the following program(s):


Credit transfer

Have you taken this course or an equivalent course? Contact the Credit Transfer Office.

Registration dates

Not all courses are offered each term.

Spring 2023 registration opens February 27, 2023. Fall 2023 registration opens July 24, 2023.

Delivery options

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