Project Management for Analytics
Course Information
Students are introduced to best practices, approaches, and tools for managing and delivering analytics, predictive analyses, ETL, and data projects. They will 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.
Intake S26 SEM
Start Date May 12 / 2026
End Date Aug 18 / 2026
Prerequisite(s):
n/a
Computer Software Requirements:
n/a
Chats:
No
Group Work:
Yes
Registering college code:
CG-OLRN1659
Host college code:
LA-BDM3023
How to register
Registration is completed online via the Student Portal. When registering for a course, it is not necessary to include the 2-digit college code prefix (e.g. OLRN1715, not CG-OLRN1715). For more information, visit https://continuing-education.conestogac.on.ca/ontario-learn.
Contact
Conestoga College
Email : OntarioLearn@conestogac.on.ca
299 Doon Valley DriveKitchener, ON
N2G 4M4
Phone : xxx
Fax :