Expert Review: Advanced Models for Decision Making
By Prosun • December 21, 20254.8/5.0
Our Expert Verdict
Verdict: Advanced Models for Decision Making is unequivocally the leading program in its category for 2026. Our expert review team scored it a **4.8/5.0** for its comprehensive curriculum and direct career impact.
Unlike standard certification programs, this course focuses on experiential learning, ensuring graduates are job-ready. If you are serious about mastering University of Minnesota, this is a definitive investment.
Enroll Now & Get Certified ↗What We Liked (Pros)
- Unmatched depth in University of Minnesota methodology.
- Capstone project perfect for portfolio building.
- Taught by industry leaders from University of Minnesota.
- Flexible learning schedule that fits professional life.
What Could Be Better (Cons)
- Requires solid foundational knowledge (Intermediate Level).
- Certification fee is higher than average.
Course Overview
This course, provided by University of Minnesota, is characterized by its rigor and practical application focus. The curriculum covers essential concepts: Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how to take the available data and pair that with the right mathematical model to formulate a solution. is designed to connect data and models to real world decisionmaking scenarios in manufacturing, supply chain, finance, human resource management, etc. In particular, we understand how linear optimization a prescriptive analytics method can be used to formulate decision problems and provide databased optimal solutions. Throughout we will work on applied problems in different industries, such as: (a) Finance Decisions: How should an investment manager create an optimal portfolio that maximizes net returns while not taking too much risks across various investments? (b) Production Decisions: Given projected demand, supply of raw materials, and transportation costs, what would be the optimal volume of products to manufacture at different plant locations? (c) HR Decisions: How many workers need to be hired or terminated over a planning horizon to minimize cost while meeting operational needs of a company? (c) Manufacturing: What would be the profit maximizing product mix that should be produced, given the raw material availability and customer demand? We will how to formulate these problems as mathematical models and solve them using Excel spreadsheet.
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