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 F25 SEM
Start Date Sep 09 / 2025
End Date Dec 16 / 2025
Prerequisite(s):
n/a
Computer Software Requirements:
n/a
Chats:
Yes
Group Work:
Yes
Registering college code:
DU-DATA2281
Host college code:
LA-BDM3023
How to register
You can register in-person, on-line, or by phone. When registering for a course, it is not necessary to include the 2 digit college code prefix (e.g. ENL001– not DU-ENL001). For details visit https://durhamcollege.ca/academic-schools/centre-for-professional-and-part-time-learning/registration-and-admission/how-to-register-2
Contact
Centre for Professional and Part-time Learning
Email : ppl@durhamcollege.ca
2000 Simcoe Street NorthOshawa, ON
L1H 7L7
Phone : (905) 721-3052