Analytics for Decision Making

This specialization focuses on the fourth and final pillar in the field of analytics: prescriptive analytics. It includes an exploration of the basic predictive modeling techniques used to estimate values of relevant parameters, as well as the optimization and simulation techniques used to formulate decisions based on these parameter values and situational constraints. Four hands-on projects will hone your skills by making use of analytics, modeling, and simulation techniques to prescribe and inform decisions for a wide range of business problems. A familiarity with Microsoft Excel is recommended.

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

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