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.
Host Course Code: LA-BDM3023
Host Course Name: Project Management for Analytics
The required text for this course can be found by going to textnet.ca, clicking on the "Browse by course" drop-down list and scrolling to Project Management for Analytics.
Please Note: Students are not required to purchase textbooks from textnet.ca. However, if students are purchasing textbooks from another source, they must ensure purchased textbooks are the correct edition and include any applicable software or add-ons.
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