Course description
Students are introduced to best practices, approaches, and tools for managing and delivering analytics, predictive analyses, ETL, and data projects. Assess approaches around estimation, scoping, planning, data cleaning, data migration, data quality, and risk mitigation. Students will recommend how to best communicate their assessments to business stakeholders.
Course details
Please note: This course is offered through OntarioLearn. To review important information such as textbook, exam and grade information, visit OntarioLearn.
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 2025 registration is now open.Fall 2025 registration opens July 7, 2025.
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