Project Management for Analytics

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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 W26 SEM

Start Date Jan 13 / 2026

End Date Apr 21 / 2026

Prerequisite(s):

n/a

Computer Software Requirements:

n/a

Chats:

Yes

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 Drive
Kitchener, ON
N2G 4M4

Phone : xxx
Fax :

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