Business Analytics with Excel: Intermediate to Advanced

О курсе

This Business Analytics course in Excel is the second of a three part series, with the intended audience business professionals, MBA students, advanced undergraduates, and analysts who already understand basic analytics and want to upskill with techniques used in operations, finance, logistics, and strategy.. Upon completing this course, learners will be able to build and solve advanced optimization models in Excel, including linear, integer, network, and nonlinear programs; apply matrix functions to scale and streamline analysis; and use VBA macros to implement multi-goal programming and explore trade-offs through Pareto-efficient solutions. This intermediate-to-advanced course is a continuation of Business Analytics: Elementary to Advanced and is designed for learners who want to move from using Excel for analysis to using it for sophisticated decision-making. Rather than treating Excel as a passive calculation tool, the course shows how it can function as a powerful optimization and modeling environment for real business problems. Learners will benefit by gaining practical, immediately applicable skills that allow them to model constraints, manage competing objectives, and justify decisions quantitatively. What makes this course unique is its hands-on, problem-driven approach and its emphasis on automation and multi-objective thinking. By combining Solver, matrix methods, and macros, learners not only solve harder problems faster, but they also gain a flexible toolkit that is engaging, creative, and directly transferable to real-world decision environments. This course will prepare you for the third course of the Business Analytics Specialization, Simulation and Optimization.

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Joseph W. Cutrone, PhD

Associate Teaching Professor and Director of Online Programs