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! Really clears up the decision tree concepts!

Overall interesting course with exams reflecting what was learned during the lectures. However, there are some inconsistencies on the slides.

Course is good.

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.

Mostly great- a few areas of poor instruction, making it difficult to follow.

Great course for beginners! Highly recommended.

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

Excellent instruction from all 3 professors. Some more tougher problems could have been included in the practice problems.

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.

Practical problem solving methods. Instruction and hands-on homework very effective.

Well structured course. But need to scale up difficulty level for quiz.

A

G

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.

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

It is needed more assingments

Beginners level, really well explained.

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

Some case studies would have helped.

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

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.

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

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

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

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.