Analytics Project Ideation

Data analytics is transforming the way businesses operate. However, organizations often struggle with identifying opportunities for data-driven decision-making and defining a clear analytics project plan to tackle them. This beginner-level specialization aims to help business leaders, managers, analysts, and data scientists become better at successfully ideating, refining, planning, and executing data analytics projects as a team. This specialization will help learners develop these skills through four courses that demonstrate the design sprint process for different types of analytics projects. Each course will have three key components: fundamental concepts, use cases, problem identification, and solutions to develop analytics project ideas.

All U of M Coursera courses, including those that are part of this specialization, may be taken individually.

The specialization takes approximately one month to complete at the suggested pace of 10 hours per week. Coursera for Minnesota gives U of M students, faculty, and staff free access to courses and specializations.