Project Management for Analytics

Introducing best practices, approaches, and tools for managing and delivering analytics, predictive analyses, ETL, and data projects, students will evaluate methodologies for estimation, scoping, planning, data cleaning, migration, quality assurance, and risk mitigation. They will then recommend optimal strategies for effectively communicating these assessments to business stakeholders.