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

4.7
3,517 notes
645 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

PK

Oct 12, 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.

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.

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526 - 550 sur 621 Examens pour Operations Analytics

par synthia n

Mar 04, 2018

THis is an amazing course and i learnt so much. WHat i really enjoyed about this course is the exercises and that you can practice as you learn. I work in the retail industry so i found the case studies really relevant and easy to understand and hence had the context needed to solve the problem! Great work Wharton!

par Denis G

Dec 16, 2015

It is needed more assingments

par Enzo A

May 20, 2016

3 1/2 stars

+ Good lectures

+ Valuable introduction to solver and stochastic modeling

~ Little beyond basics: for a Wharton specialization we should add more depth

~ Quizzes are at least a bit too easy

par Luigi C

Feb 19, 2016

Beginners level, really well explained.

It's useful even for someone that never worked with numbers.

par Shikhar V

Dec 09, 2015

Practical and hands on learning. Would have liked to see modules on more advanced applications of the concepts.

par Dan

Nov 28, 2015

Some case studies would have helped.

par Anwar R

Dec 30, 2015

The course provides good overview of forecasting and operation analytics. Some operation research techniques like linear programming, network optimization, decision tree (not to confuse with decision tree from machine learning field), and simulation are nicely presented. Solver plugin of excel is used for all those problems which makes the analytic content becomes more concrete.

The presentation is from very, very high level point of view though, and lack from depth. It lacks of depth from business point of view, but also from analytic point of view. The quizzes are much too easy given the content. I expect that the quizz would be harder than example given in the course, but it's unfortunately the reverse.

par Durga B P

Aug 15, 2016

It's a well designed course but could have been more challenging

par T. J I

Oct 30, 2016

Good examples that can be easily built upon for my job.

par ROHON G

Aug 16, 2016

It was a helpful course, good for understanding the core concepts. But it is good for basics only. Not for advanced level.

par Philip M

Oct 23, 2016

I really learned a lot, but the videos are a little long, so it was more difficult than other courses to find time to do the work.

par Seshu B V

Jan 14, 2016

Simple and easy to

par Jonathan Z

Feb 07, 2016

Helpful examples of modeling in Excel. I expected more.

par Ahmed A

Apr 22, 2016

Informative topics. The examples were relevant and useful, but the lectures could have been more captivating (mainly consisted of directly reading what was on the slide).

par Leonardo N A

Dec 05, 2015

Interesting material with a lot of good optional content.

par Yogi W

Sep 15, 2017

Great course! Motivates students to learn more about (non-) linear optimization, simulations, distributions, and decision trees. Satisfactorily thorough with references to further materials when one wants to deepen their understanding and easily understandable for people with no background. Thank you for your course.

par Mame-Mor F

Jan 23, 2017

Well paced, introduction to optimization with real hands on exercice appreciated. Wish we would have more complex exercice and final quizz

par Vignesh D

Feb 07, 2016

Good course explaining the uncertainity problems and teaches us the scientific decision making skills.

par Bahman A S

Jun 06, 2016

Excellent but not complete

par Manikandan R

Aug 23, 2017

Crisp and succinct

par Suresh S

Sep 24, 2017

Gives a good knowledge of Predictive Analytics and the Add-on in EXcel that can be used a stepping stone to gain more knowledge about this Analytics method.

par Juan J

Jan 20, 2016

Very good course and very useful!

par Yew C C

Jul 20, 2016

Useful use cases.

par raj u

Jan 13, 2017

Teaching methodology is very good.

par anna k

Aug 24, 2016

So far it's really educational. Very good:)