The content is too simplified, basically only three points introduced : how to do operation analytics, simulation and optimization ( by excel) . The quiz is not challenging at all. No further essay or maths involved.

In real world, the content is taught within 4 hours class time, which is at most content for no more than two first weeks for an undergraduate similar courses.

Challenge us please! Brain torture us. No one will complain it is too hard for them to learn coz we are here to learn, and after all, this is Wharton!!

But if it is too simplified to learn? Hmmm.....

Hope Penn guys can enhance the quality of content later.

I learned a lot of practical skills in this course. Excellent discussions. Existing activities were enough to teach me the skills I was expecting to acquire, but I wish there were more practical exercises to better highlight the value of operations research. I also like how the course contents were arranged, particularly in how the last lesson ultimately tied back to the main newsvendor problem presented at the start.

this mooc is pretty well structured and is aimed to beginners in solver & random number generation. If you're looking for technical skills, it's ok. Don't expect any feedback from any Wharton ppl/ mentor if you have any question.

Videos are pretty long (sooo slooow sometimes), teachers there keep on repeating themselves. The good thing is you'll probably interiorize some key concepts.

This is a tough course to complete. It took me a few trials and couple of revision sessions for the course material to understand all the concepts along with additional research and content study. But now I can confidently talk about operations analytics in my industry and help our clients in the future. Thank you to all the professors and Wharton for creating the course curriculum.

While there was some good tools which were introduced, many of the assessments on the course were very frustrating since they were not self-contained; you had to refer back to spreadsheets which were done earlier in the course.

The content of the course was very straightforward and the instructors were very knowledgeable.

Great content and delivery from instructors. Format could use some work. Videos were very long for online learning. Video length was more traditional class room 40min to hour. It was not accommodating to flex learning since Coursera doesn’t save time in video. Audio was very quiet compared to other MOOCs.

The rest of this Specialization tends to focus on the cutting edge of data and how data is changing these different aspects of marketing, HR, and other departments of a company. This course didn't seem to fit very well. It is very, very Excel heavy without any link to how data is changing operations.

The lectures were dry. I know the subject is bit dry too. But if real life examples are infused in the course I think it will more interesting. Also, I do not mean to disrespect the teachers but I think the delivery by the Senthil sir is sluggish. Makes me want to sleep

Savin was a good, engaging presenter. Veeraraghavan had very interesting material, but his presentation style was very dry, unengaging, and far too slow. Gans was not bad, but could also use some improvement in presentation style.

The main topics are well explained and the course matter will be useful in my job. But the videos duration is too long, and too much time is lost on explaining how to use Excel (should be treated apart).

This was useful, but I didn't got the answer for my question why do we simulate negative demand? The big problem of these courses is we don't have real feedback, we can't ask teacher anything.

A beginner's course with substantial scope. The concepts were simple and yet, powerful. Highly recommended for the ones seeking a basic understanding of Operations analytics.

I liked the concepts to apply for operations, and different ways to consider probability. Found the course to be a little too Excel heavy.

Had expected this course to be more detailed but turned out to be very basic especially in the beginning. Week 4 was interesting though.

Too much math and Excel, not enough 'why' (for example, why we choose a certain model, how to select important variables for input)

a bit too long examples; i'd prefer more use cases that one might excercise on his own (but it's my personal preference)

Interesting material but not that difficult. Would have liked the opportunity to do more modeling. Good introduction.

The videos are very long to follow through, and I'm having troubles keeping my concentration span with the instructor

Week 1 could have been better in terms of presentation. Also the content could have been a bit more comprehensive.

Learned the basics of operations analytics. It was my first experience to use soler and analytic tools in Excel.

Nice course overall, though I thought the quizzes were exceedingly simple. Could have been more testing.

More content sharing would have helped and more practical and realistic problems to be placed

Good for super-beginners, but not useful for anyone with some knowledge of simulations

The videos are long, thus rather boring. Yet, the contents are useful and interesting

Too easy quizzes, more real-life cases shall be included, that too in detail.