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

3,520 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


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.


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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376 - 400 sur 622 Examens pour Operations Analytics

par Atul C

Aug 12, 2017


par Sohail B

Sep 26, 2017

Brief Profile: Sohail Butt

I am a man of 58 years old and having an experience of almost 30 years of Business Management of Pharmaceutical & Nutraceutical Industries of Pakistan. Presently I am having my own Consulting Company " AIMMS CONSULTING" and extending my services as Management Consultant to different companies of said sectors.

I am of the conviction that learning is never ending and have a habit of learning new ideas about my favorite subject about Operations Analytics.

I really appreciate highly the efforts of my respected dynamic & competent Instructors Associate. Prof. Senthil Veeraraghavan, Associate. Prof. Sergei Savin & Professor Noah Gans for Operational Analytics and enjoyed the course material and videos presentation of this course. Mind blowing conceptual approach was adopted especially in the areas of basic conceptual knowledge in depth. Overall it was my superb experience of learning.


MY PERSONAL HUMBLE REQUEST, Please make also the important components of course material as a part of this Certificate with % AGGREGATE so that it has a much more worth & impact for the courses participated.

A separate Transcript must be issued with having Aggregate % Score and important Components of participated course.

Hard Copy of this certificate mail to my home address in Pakistan. Please use my credit card,I am ready to pay all expenses in this connection.

Thanks & best wishes to all Coursera Team.

par Javier A B

Dec 10, 2017

5 Star - Excellent course. I recommend this course for any Operation personnel, including Project Managers and Operational Leaders.

par Fai C

Mar 18, 2017

It is a very knowledgable course that covers few basic theories including perscriptive analytics, newsvendor problem, solver, random number generation and decision tree. Excellent!

par pratik k

Jun 16, 2018

i really enjoyed this course . i have done 3 courses in coursera and this on is the best way in terms of what teachers explained the concepts. optional videos and problem practices are really very helpful to buld concepts

par Sunny G

Jun 04, 2017

Course was very well explained. Professors were very specific and cared to explain every relevant possibility of a given problem. It makes you much better in simulation, optimization, and decision tree tools, specifically.

par Sebastian E C G

Dec 29, 2017

I liked it. It's a very practical course, and I remembered some topics from the University and some others were new for me.

par Daanish G

Jul 30, 2017

A very detailed course with some great examples.

par Michelle W

Sep 03, 2017

Great lectures and practice worksheets. Easy to grasp yet challenging and applicable.

par JC R

Apr 28, 2017

Because they are the best professors ever, and the course is well on point about what needs to be learned.

par Sharat

Jul 17, 2017

High quality content and very well articulated.

par 许之亮

Nov 09, 2017

very usefull

par Amit V

Aug 17, 2017

Many, many important concepts and techniques taught in a very lucid manner. Particularly enjoyed sessions by Sergei and Noah. However, sessions by Senthil need to improve drastically on editing and on explanation of more difficult concepts - too much time was spent on simple, basic concepts while difficult ones were almost glossed over.

par Imran M

Jan 30, 2018

The Video/Excel format for the course was really helpful in understanding the subject matter. Really enjoyed the entire course.

par Siva P

May 07, 2017

Great course. Easy to follow and understand

par Vishnu S

Mar 08, 2018

Great learning experience!

par ran.yi14

Jul 21, 2017

very useful course

par Umang S

Dec 15, 2016

Really a great course .

par Abhishek S

Mar 06, 2017

Great learning

par Haoyu C

Dec 22, 2017

Clear illustration and very vivid examples. Good content.

par Paolo V

Jun 18, 2018

Great, great learning


May 04, 2018

Well, it was a superlative course, to say the least. As a person having expertise in finance and quantitative analysis, this course leveraged my skills , while adding immensely to them.

I knew Excel as a beginner, but the course exposed me to its immense potential. Predictive statistics, decisions under low uncertainty using Solvex and Data Analysis, exposure to Decision Trees and their interpretation from a risk-reward angle- all these were laid out in a very interesting manner. This enabled practical and inquisitive learning, making you hungrier for more courses as well planned as this one.

par Angel T

Jul 19, 2017


par Grant I

Apr 08, 2017

The most valuable thing I

par Vikas T

Jun 24, 2017

Good start for beginners, very thoroughly explained.