This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data. This course is appropriate for beginners and business professionals with no prior analytics experience.
(Optional) Solver on Mac
Skills You'll Learn
Simulation, Mathematical Optimization, Solver, Decision Tree
Reviews
An exceptionally organized course with sufficient examples, it provides an in depth analysis of the concepts introduced (optimization, decision trees, forecasting, simulations) and of the tools used.
Course delivery, material , work sheet is excellent , I enjoyed throughout course , I had excellent learning for optimization , decision tree, simulation which will help me in my professional career.
In this module, you'll learn how to identify the best decisions in settings with low uncertainty by building optimization models and applying them to specific business challenges. During the week, you’ll use algebraic formulations to concisely express optimization problems, look at how algebraic models should be converted into a spreadsheet format, and learn how to use spreadsheet Solvers as tools for identifying the best course of action.
Taught By
Senthil Veeraraghavan
Associate Professor of Operations, Information and Decisions
Sergei Savin
Associate Professor of Operations, Information and Decisions
Noah Gans
Anheuser-Busch Professor of Management Science, Professor of Operations, Information and Decisions
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