Operations Analytics helps me to understand how to solve Newsvendor problem by statisti, forecast SUK and predict the seasonal performance. Great lessions and thanks so much for the three Instructors!
An exceptionally organized course with sufficient examples, it provides an in depth analysis of the concepts introduced (optimization, decision trees, forecasting, simulations) and of the tools used.
By Rajul R•
Its a nice course to begin with
I think it is a little too easy
By Denis G•
It is needed more assingments
By Bahman A S•
Excellent but not complete
By Brian V•
Very Good. Learned a lot.
enjoyed the challenge
By Manikandan R•
Crisp and succinct
By Seshu B V•
Simple and easy to
By Yew C C•
Useful use cases.
By Cher L•
By Nazatul A B A R•
Course is good.
By Vivek G•
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By Gunay A•
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By Sharath B•
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.
By Jingxia P•
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.
By Tanguy V•
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.
By Deepa M•
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.
By Brent A•
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.
By Carla M•
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.