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!

It is needed more assingments

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

Beginners level, really well explained.

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

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

Some case studies would have helped.

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.

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

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

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

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.

Simple and easy to

Helpful examples of modeling in Excel. I expected more.

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).

Interesting material with a lot of good optional content.

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.

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

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

Excellent but not complete

Crisp and succinct

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.

Very good course and very useful!

Useful use cases.

Teaching methodology is very good.

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