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Learner Reviews & Feedback for Operations Analytics by University of Pennsylvania

4.7
stars
5,070 ratings

About the Course

This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data. This course is appropriate for beginners and business professionals with no prior analytics experience....

Top reviews

EW

Apr 26, 2020

Excellente course. Very challenging especially for beginners. The motivation to achieve my final goal of reinventing myself professionally, makes every challenge a welcome experience. Thanks Coursera!

PK

Oct 11, 2019

An exceptionally organized course with sufficient examples, it provides an in depth analysis of the concepts introduced (optimization, decision trees, forecasting, simulations) and of the tools used.

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901 - 925 of 958 Reviews for Operations Analytics

By Brent A

•

Aug 14, 2018

While there was some good tools which were introduced, many of the assessments on the course were very frustrating since they were not self-contained; you had to refer back to spreadsheets which were done earlier in the course.

The content of the course was very straightforward and the instructors were very knowledgeable.

By Isaac S

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Mar 1, 2022

Great content and delivery from instructors. Format could use some work. Videos were very long for online learning. Video length was more traditional class room 40min to hour. It was not accommodating to flex learning since Coursera doesn’t save time in video. Audio was very quiet compared to other MOOCs.

By Carla M

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May 26, 2016

The rest of this Specialization tends to focus on the cutting edge of data and how data is changing these different aspects of marketing, HR, and other departments of a company. This course didn't seem to fit very well. It is very, very Excel heavy without any link to how data is changing operations.

By Rahul R T

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Aug 2, 2016

The lectures were dry. I know the subject is bit dry too. But if real life examples are infused in the course I think it will more interesting. Also, I do not mean to disrespect the teachers but I think the delivery by the Senthil sir is sluggish. Makes me want to sleep

By Nathan H

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Jan 21, 2017

Savin was a good, engaging presenter. Veeraraghavan had very interesting material, but his presentation style was very dry, unengaging, and far too slow. Gans was not bad, but could also use some improvement in presentation style.

By Glenn D

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Nov 21, 2016

The main topics are well explained and the course matter will be useful in my job. But the videos duration is too long, and too much time is lost on explaining how to use Excel (should be treated apart).

By Vinogradova A

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May 5, 2016

This was useful, but I didn't got the answer for my question why do we simulate negative demand? The big problem of these courses is we don't have real feedback, we can't ask teacher anything.

By Lokesh V

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Apr 8, 2020

A beginner's course with substantial scope. The concepts were simple and yet, powerful. Highly recommended for the ones seeking a basic understanding of Operations analytics.

By duane p

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Jun 4, 2020

I liked the concepts to apply for operations, and different ways to consider probability. Found the course to be a little too Excel heavy.

By Rutuja B

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Jun 30, 2020

Had expected this course to be more detailed but turned out to be very basic especially in the beginning. Week 4 was interesting though.

By qingcai p

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May 18, 2017

Too much math and Excel, not enough 'why' (for example, why we choose a certain model, how to select important variables for input)

By Piotr C

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Sep 2, 2017

a bit too long examples; i'd prefer more use cases that one might excercise on his own (but it's my personal preference)

By Jeremy T

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Jul 16, 2017

Interesting material but not that difficult. Would have liked the opportunity to do more modeling. Good introduction.

By Tarek E

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Jun 12, 2017

The videos are very long to follow through, and I'm having troubles keeping my concentration span with the instructor

By karthikeya h

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Apr 26, 2018

Week 1 could have been better in terms of presentation. Also the content could have been a bit more comprehensive.

By Masamichi K

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Aug 10, 2019

Learned the basics of operations analytics. It was my first experience to use soler and analytic tools in Excel.

By Pranav K

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Dec 7, 2015

Nice course overall, though I thought the quizzes were exceedingly simple. Could have been more testing.

By Amit H

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Mar 21, 2021

More content sharing would have helped and more practical and realistic problems to be placed

By Menelaos M

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Jun 21, 2016

Good for super-beginners, but not useful for anyone with some knowledge of simulations

By Layung A

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Mar 31, 2019

The videos are long, thus rather boring. Yet, the contents are useful and interesting

By Viraj P

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Apr 24, 2020

Too easy quizzes, more real-life cases shall be included, that too in detail.

By Vijay N M

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Mar 26, 2020

Quiz questions can be better structured and difficulty can also be increased.

By ricardo a

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Aug 17, 2016

I would like to be more challenging and more advanced math and statistics

By Eugene Q

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Oct 28, 2020

Very effective, very practical but the videos can be a little long.

By RASHMI K

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Jul 16, 2019

Videos are way too long is not motivating me to complete the course