Advanced Business Analytics: Excel Optimization & Simulation

О курсе

This course equips learners with advanced skills in building and analyzing models using Excel to solve real-world business problems. Participants will learn to optimize decision-making processes using Solver, conduct sensitivity analysis to refine model outcomes, and apply advanced integer programming techniques to tackle complex scenarios. The course also covers sophisticated methods for solving assignment and transportation problems and introduces simulation techniques to analyze uncertainty and variability in decision-making. By the end of this course, learners will have the tools to enhance efficiency, improve resource allocation, and drive strategic decisions using Excel’s powerful modeling and analytical capabilities. What sets this course apart is its focus on actionable insights and practical, hands-on applications of advanced techniques, ensuring students are prepared to address challenges across a range of industries. Whether optimizing operations, solving logistical challenges, or preparing for uncertainty, this course provides essential skills for making confident, data-driven decisions. Prerequisite knowledge of basic Excel functions and foundational analytics is recommended.

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Joseph W. Cutrone, PhD

Associate Teaching Professor and Director of Online Programs