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).

so far so good

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

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

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.

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

Week 1 lectures could be re-organized/edited for clarity.

Exams are very easy. Should be difficult.

It would have been better with more examples and exercises.

Hi,

I am someone who works in Sales & Operations Planning and thus have experience in the field of Operations. I have taken other courses from Wharton, namely Prof Terwiesch's course on Operations Management and thus have a comparative reference in rating this course.

The course videos were good and I am looking forward to reviewing the case examples once again, but I was hoping for mode in depth discussion on key metrics and analytics in Operations. The course only provided an introduction to everyday concepts of Operations Management. The review quizzes were underwhelming since they only scratched at the surface of the concepts and were not challenging enough, the quiz of week 3 was a prime example where I felt application of algebra was being tested and not the concept of optimization itself.

That being said, the videos were excellent and detailed introduction to the concepts and the pace was well suited to make someone comfortable with the topics being discussed.

Thank You Coursera and Wharton team for providing this course. I look forward to attending more courses from Coursera and Wharton.

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.

I would like to be more challenging and more advanced math and statistics

A bit simple, really a beginnner course.

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.

Quiz is way to simple.

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

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

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.

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

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

Good examples!

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.

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.

overall useful but can deep dive into more complicated examples

Very few people work in manufacturing...