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.
About this Course
학습자 경력 결과
완료하는 데 약 12시간 필요
학습자 경력 결과
완료하는 데 약 12시간 필요
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OPERATIONS ANALYTICS의 최상위 리뷰
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.
This module is really good for those of us who need to plan strategically ahead. It helps answer a lot of questions that business leaders will grapple with as they try to look ahead in the business.
This course was a definite improvement from the Customer Analytics course. All three instructors were on point. A special mention for you Sergei. Your portions were the most fun to explore. Thanks.
The topics is very much related to what I'm doing and I'm surprised that this course leads me to unchartered territory that brings me a lot of ways on how to solve day to day operations problem.
Very useful and very informative. Loved the predictive and prescriptive part of this learning. Good knowledge to get into more advanced learning. Much much better than customer analytics course.
Awesome course on operations analytics. Great learning tools in MS Excel which i did not know exist. Solver was a discovery. Decision trees are also interesting. I love the news vendor problem.
Week 1 & 2 are too easy. The meat is in week 4 when combining simulation with optimization. Need to include more example on modeling non-linear problem to enhance the usefulness of the course.
It was a good course, and was very informative and educational for someone with no prior experience in Business analytics. The techniques for optimization and simulation were very interesting!
Senthil VeeraraghavanAssociate Professor of Operations, Information and Decisions
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
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