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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
3,985 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

SD

Apr 6, 2024

Amazing course to support business decisions through statistics and data validation. Includes almost all the essential skills required to run and understand a business. Loved it.

RG

Jul 1, 2023

If you thrive to excel, and need to upskill yourself, please enrol. The study material was simple to understand, yet allowed to inculcate the learnings into my domain of business.

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By Richard K

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Aug 24, 2024

Great

By عبيد م د ا

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Aug 24, 2024

ممتاز

By Chethan D

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Jul 25, 2024

great

By احمدعبدالتواب ا

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Jun 1, 2023

رائعه

By V D

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May 11, 2023

super

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May 7, 2023

Great

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Oct 31, 2025

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Oct 5, 2025

nice

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Jun 9, 2025

GOOD

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Mar 30, 2025

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Mar 26, 2025

NICE

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Dec 30, 2024

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Oct 23, 2024

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Sep 30, 2024

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Sep 20, 2024

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Aug 5, 2024

nice

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Jul 27, 2024

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Jul 26, 2024

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