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Learner Reviews & Feedback for Business Analytics with Excel: Elementary to Advanced by Johns Hopkins University

4.8
stars
4,014 ratings

About the Course

A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. These include Linear and Integer Optimization, Decision Analysis, and Risk modeling. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world business problems using Excel. Emphasis will be not on the "how-to" of Excel, but rather on formulating problems, translating those formulations into useful models, optimizing and/or displaying the models, and interpreting results. The course will prepare managers who are comfortable with translating trade-offs into models, understanding the output of the software, and who are appreciative of quantitative approaches to decision making. Business analytics makes extensive use of data and modeling to drive decision making in organizations. This class focuses on introducing students to analytical frameworks used for decision making to make sense of the data, starting from the basics of Excel and working up to advanced modeling techniques....

Top reviews

AS

Jul 15, 2024

Excel itself is easy, but it’s not easy to understand, for example. This is the most difficult issue that I faced. The course focuses on financial and business parts, and I am a an engineer

CM

May 29, 2024

Great examples and well structured course, nicely presented. As someone who has used Excel for a number of years, I learnt some new techniques and enjoyed refreshing my skills.

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