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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
3,424 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

Sep 30, 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.

AM

Jun 6, 2023

I am very grateful to opt this course. Each module of this course are symmetrical and very module connected to each other and it is easy for all to understand and perform the task as mentioned.

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By Rohith

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Dec 30, 2024

Good

By Mohamed S

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Oct 23, 2024

good

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Jan 26, 2024

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Jan 24, 2024

nice

By Prasik G

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Dec 7, 2023

good

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Nov 21, 2023

good

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Oct 9, 2023

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Sep 22, 2023

good

By 4847 A F N K

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Jul 21, 2023

nice

By MAR M M

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Sep 24, 2024

top

By Stefany V

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Jan 16, 2024

bom

By Bakhita A N A

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Jul 5, 2023

^_^

By MICHELE F

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Oct 10, 2024

ok

By Neelam P

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Sep 11, 2024

no

By Junior G

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Nov 25, 2024

5

By Kevin A

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Jan 28, 2024

5