Retour à Operations Analytics

4.7

étoiles

4,429 évaluations

•

849 avis

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....

GC

Jul 02, 2020

Operations Analytics helps me to understand how to solve Newsvendor problem by statisti, forecast SUK and predict the seasonal performance. Great lessions and thanks so much for the three Instructors!

EW

Apr 27, 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!

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par Laurentiu B

•Dec 09, 2015

G

par sayaka t

•Dec 05, 2015

V

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 Alina Z

•Feb 05, 2020

I agree with the majority of comments about the general quality of the course materials and quality of teaching. This course would probably be suitable for those with 0 prior experience in excel, statistics and optimisation problems. Although tools presented were overall useful and easy to use (everything can be done in Excel), I think all of the teaching material could be summarised in 1-hour lecture. I had to watch the videos at x1.75 speed. In my opinion, the course could be also improved by adjusting the depth and complexity of the weekly quizzes as currently they are very basic.

par Markus N

•Jan 23, 2016

A great course, with good material and very smart and likeable professors.

For improvement: Sometimes it is hard to follow, slow down from time to time to review concepts that have been introduced + I would appreciate if there is follow up material at the end of the course to answer the "what's next" question, after finishing. Also think about different Assignments for grading. I found the quizzes too easy (in part).

par Gabriel R d S

•Nov 03, 2019

I believe the course was truly worth it, but the lack of didactics from the first professor was really discouraging, he basically only read whatever was write on the power point presentation, other than that, I believe Wharton should have kept the course and the answers to students questions updated. Still, is worth it, if you plan on developing analytical skills.

par Sachin S

•Sep 02, 2017

Prof. Senthil can definitely improve on delivering the lecture as it was very deflating. Reading out the slide content is not exactly a good way to put forth concepts. Prof. Sergei and Gan did a fantastic job in explaining the concept and demonstrated using excel perfectly. Learned a lot of new concepts and I am able to allocate the same in realistic environment.

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 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 Murali K

•Aug 21, 2016

Provides a understanding of simulation and optimization using very simple examples. Perfect for beginners, not so much if you looking for more in-depth discussion to solve complicated problems.

Also, Week 3 and Week 4 test more on your Excel skills rather than actual simulation and optimization knowledge.

par Subhash R

•Feb 23, 2018

A must-do course for people managing resources (both men & material). This course will help in analysing data effectively which in turn can be used for taking key business decisions. "Solver" & "Data Simulation" are 2 things which I have found very useful in this course.

par Tiago F T C

•Dec 30, 2016

Great course! However I think that the evaluation quiz is confusing, because we always need to pick up previous class data to solve the problems. In the future consider to put all data in the quiz. With this problem corrected, I would give a 5 star rating.

par William C

•Feb 13, 2018

Very good introduction course to some of the fundamental problems outlining operation analytics. I especially liked the walk-through excel exercises and the homework exercises offered just the right amount of challenge for someone to grasp the concept.

par surya c

•Mar 05, 2019

EXCELLENT COURSE FOR BEGINEERS, THIS COURSE IS ALL ABOUT DECISION MAKING IN DIFFERENT SETTINGS, AS EACH PROGRESSES THE COURSE MATERIAL TURNS VERY MUCH INTREASTING. ALL THE PROFESSORS ARE GREAT AT EXPLAING EVERY DETAIL FOR AWESOME UNDERSTANDING

par Pablo E

•May 20, 2020

Not a 5 star because there isn't a complex case-study where a student might see a real world operations research problem being solved by everything learned during the course. Would have been interesting to top it off with something like that!

par Anita L

•Aug 27, 2020

I learned a lot - it would have been helpful if the quiz questions gave the data of the scenarios (I was in the quiz but hadn't downloaded the slides so some of the calculations were difficult because I didn't recall the pricing scenarios)

par ABHISHEKBAGHEL

•Sep 12, 2018

For basics this course is good. It would be better to make it a 6 week course and extend series after news vendor application or on topic where we use different methods of forecasting and optimize the results as per objective function.

par Salma A

•Apr 18, 2019

The course was very fruitful and informative, the first week however was not presented efficiently which gives a wrong impression about the course. I suggest replacing the videos of the first week with shorter more informative ones.

par Dhairya J

•Aug 25, 2017

It was an amazing learning relaredto operations and came to know about the great excel tools for simulation which can be used for solving many problems and well explained by professors with the detailed knowledge

par Bhavya V

•Jun 17, 2020

Overall this course was amazing, One thing i would like to point out is that XLMiner Plugins are not further allowed in google sheets, please update it and provide alternative for the same. Thank you so much.

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 ROGER C

•Jul 15, 2019

Week 1 & 2 are too easy. The meat is in week 4 when combining simulation with optimization. Need to include more example on modeling non-linear problem to enhance the usefulness of the course.

par Goldi T

•Jul 25, 2020

The course provided a good introduction to Operations Analytics. All the sessions felt like hands-on workshops with some real-world examples. I enjoyed learning ToolPak and solver the most.

par Farkhondeh S

•Feb 24, 2018

I was happy with all of the professors, except one of them that had a bad accent. I couldn't understand what he said, and I had to read the text. His lessons were confusing too. Thanks

par Devansh M

•Aug 12, 2017

Week 1 was really slow as the professor literally read off the slides verbatim. Make the videos a bit shorter as the audience is smart enough to grasp the contents faster than expected

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