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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
3,315 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 di...
...

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.

SR

Jul 23, 2024

Good course to follow if you are interested in expand your knowledge in excel data analysis, especially focusing on business analytics. Lectures and resource materials are very clear and helpful.

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651 - 675 of 825 Reviews for Business Analytics with Excel: Elementary to Advanced

By Richard K

Aug 24, 2024

Great

By عبيد م د ا

Aug 24, 2024

ممتاز

By Chethan D

Jul 25, 2024

great

By احمدعبدالتواب ا

Jun 1, 2023

رائعه

By V D

May 11, 2023

super

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May 8, 2023

Great

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Jan 15, 2025

good

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Dec 30, 2024

Good

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Oct 23, 2024

good

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Sep 30, 2024

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Sep 20, 2024

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By Mohd v

Aug 5, 2024

nice

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Jul 27, 2024

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Jul 26, 2024

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Jul 8, 2024

Good

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Jun 3, 2024

Good

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May 6, 2024

good

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Apr 20, 2024

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By Anuuascreativity

Jan 26, 2024

Good

By Sangeeta K

Jan 24, 2024

nice

By Prasik G

Dec 7, 2023

good

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Nov 21, 2023

good

By Muneer H H

Oct 9, 2023

good

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Sep 22, 2023

good

By 4847 A F N K

Jul 21, 2023

nice