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Avis et commentaires pour l'étudiant pour Operations Analytics par Université de Pennsylvanie

4.7
3,351 notes
620 avis

À propos du cours

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....

Meilleurs avis

JH

Aug 12, 2016

This module is really good for those of us who need to plan strategically ahead. It helps answer a lot of questions that business leaders will grapple with as they try to look ahead in the business.

SG

Feb 21, 2016

This course was a definite improvement from the Customer Analytics course. All three instructors were on point. A special mention for you Sergei. Your portions were the most fun to explore. Thanks.

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576 - 597 sur 597 Examens pour Operations Analytics

par Serene T S H

Aug 10, 2016

overall useful but can deep dive into more complicated examples

par Alex t H

Jun 18, 2017

Very few people work in manufacturing...

par Glenn D

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).

par Nathan H

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.

par Jeremy T

Jul 17, 2017

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

par Piotr C

Sep 02, 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)

par 黄静雯

Apr 21, 2019

it is too easy

par RASHMI K

Jul 16, 2019

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

par Masamichi K

Aug 10, 2019

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

par Marisabel F

Oct 22, 2018

Creo que se han dedicado más a enseñarnos de Excel que en sí la lógica detrás de los problemas.

par Jason C

Feb 10, 2018

Week 1 of The Operations Analytics course is incredibly underwhelming. I've noted a very heavy focus on basic concepts such as calculating averages, how to calculate a ratio, how to add colours to an excel graph, which was covered half a dozen separate times IN DETAIL. I honestly couldn't tell if the material had been intentionally under-developed to minimize professor effort or simply due to an inability to recognize the required content for the course. In any case, the fact that basic concepts are routinely repeated without further development or context is an indictment on the quality of the course.The entire first week comes off as very unpolished - it's clear that the speaker is reading off slides rather than drawing from memory and that the speech is almost spontaneous - back to back explanations of the exact same thing as if the speaker forgot what was supposed to come next. It's a recorded lecture... I don't understand how you can watch the Week 1 videos and think that's an acceptable level of quality. Moreover, 10 - 20% of each talk is simply a summary of what's been discussed and will be discussed. On quiz week 1 there was an actual question where all you had to do was input a value for X then add one number and that's the answer? That's literally not even high school level math... When I see a question like that - something so basic it's a shock - it's incredibly clear that the professor put in the most minimal effort possible. Nearly dropped the entire subscription and ceased every course due to this lack of quality control from this single week. Week 2 is far better in quality. The lack of quality control is rather concerning - how one professor is clearly far less capable than every other presenter...

par Juan D A

Feb 07, 2016

Too Basic. The material and the course rate isn't at the level of the other courses Wharton has to offer.

par Gowtham T

Mar 02, 2016

Videos are too long. Length of videos should be reduced to exceed not more than 20min. First if the concept is conveyed in a crisp and clear manner and then practical examples are shown, the interest towards the course can be improvised.

par Mykhailo O

Jul 28, 2017

easy and not engaging

par Thorsten L

Nov 02, 2015

the video lectures are too long and really dry

par Lauri S

Apr 10, 2016

While these courses have interesting subjects, the content is very light, requires little effort and hence results in little learning.

par Chand D

May 01, 2017

Too Much excel sheet teaching rather than concepts.

par ayush t

Oct 06, 2017

very very boring, pure theoretical without any real world example

par Sheryar P

Mar 28, 2016

The Capstone project has been getting delayed since Jan

Dont expect yourself to complete the specialization

par Anupam D

Mar 13, 2016

Too mych excel

par Tony E

Sep 06, 2016

Very poor class as it relates to the content and delivery. The vast majority of the class was having the professor recite what was already on the PowerPoint slides verbatim. The examples were not relevant to business, rather they were heavy in academia and learning jargon that I do not think I will ever use in my professional career.

par Tony

Sep 23, 2017

Too simple!