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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
3,977 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

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.

MB

Jul 19, 2024

Excellent, I was not able to solve the excel from what if analysis because I only have my phone to practice on so, many of the options where not available but I understood all the concepts.

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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

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May 11, 2023

super

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May 7, 2023

Great

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Oct 5, 2025

nice

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Mar 30, 2025

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Mar 26, 2025

NICE

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Oct 23, 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 8, 2024

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Jun 3, 2024

Good