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.

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.

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.

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!

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.

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.

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.

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.

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

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.

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.

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

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

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.

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

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

This course not only enables me to understand why I am studying for Probability Theory but also provides hands-on tools that we can apply to the real-world. I really appreciate that!

Love it in general, very useful and relevant content and easy to follow through. Week 1 delivery is not as engaging as one would have hoped, but picked up later in the course.

The course gave me a good level of quantitative and more importantly qualitative understanding that would allow me to think and apply these techniques in a variety of problems.

Its a good course, if you want to know better how to make decisions under uncertainty scenarios. The Course is given by 3 different professors who share well their knowledge

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).

content is not so complicated and PPT is easy to be comprehended. However, even without watching the video, people could get the point by directly reading the materials.

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.

This course could have been a bit less text heavy, as in sometimes it felt the professors were just reading out the slides. Other than that great course!

For starters it was a good place to start at. I knew some basics so it was pretty easy for me and I skimmed a lot of content. But overall it was good.