This course equips students with the principles, methods, and tools needed to translate business needs into clear, actionable requirements for analytics projects. It focuses on bridging the gap between business stakeholders, data professionals, and technical teams through structured elicitation, documentation, and validation of requirements specific to analytics solutions—such as dashboards, predictive models, machine learning systems, and decision support tools.
The course blends classical requirements engineering practices with modern analytics-specific approaches and emphasizes cross-functional communication, data literacy, and iterative development.