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Back to Business Analytics with Excel: Elementary to Advanced

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

4.8
stars
3,818 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

ZJ

Feb 19, 2024

Muy recomendado para aplicar formulas y funciones en excel pero a casos de negocios o empresariales, además de obtener resultados concisos, te ayuda a reflexionar y a fortalecer el pensamiento lógico.

AS

Oct 1, 2023

Well guided course with gradually increasing difficulty level, yet explained in a lucid way. Next level (advanced) level courses are awaited from the faculty whose has immense knowledge of subject.

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Aug 28, 2023

very good

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Aug 20, 2023

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Jun 13, 2023

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Oct 19, 2024

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Jul 27, 2024

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Mar 10, 2024

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