Comentários e feedback de alunos de Análises de operações da instituição Universidade da Pensilvânia

It was very useful for me to understand the concepts of Predictive analytics and LPP. I got more insights into how to choose the project based on rewards and risks.

This course was incredibly well put together, content was clearly presented, and taught me new tips / tools that I am already incorporating into my real-world work.

Great course. Rigorous models and very elaborate content. Highly recommended for executives to gain an overview of application of analytics in operations management

Great course! I found the lessons are highly practical. Quizzes are quite challenging, but the instructors explained details very clearly and easy to comprehended.

Very pragmatic course, with clear explanations and examples. Nice simple tools to run operations analytics with Excel. Very well conducted with powerful practices.

This is a very informative and interesting course. I received a lot of useful information for applying it in descriptive , predictive and prescriptive analytics.

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Very good course which helps you develop thorough understanding through many examples and problem sheets. Perfect pace and balanced content. Would 100% recommend.

Course is very well designed, learnt some new concepts and methods in optimization. Also learnt how a data is analysed depending upon the trend and probabilities.

I loved the way these courses were laid out. I was able to follow them easily thanks to the extremely clear instructions and helpful sample problems. Thank you.

Mix entre teoría y práctica excelente. Los ejemplos son cortos pero te muestran claramente el camino para solucionar problemas mucho más grandes, son escalables.

This course definitely helped with my Analytics overall. I was able to learn about features in Excel that I was unaware of and that help make decisions easier.

Very well structured course with the core basics of operations analytics. The concepts of decision tree analysis and optimization have been explained quite well

This 5-star why I'm giving because by accomplishing assessments test I feel confident now. Because I have got competency now so it will great for my placement.

Useful knowledge with complete and clear structure. Really rocommended course for fresher in this area or who wants to be a deep learner in Business Analytics!

One of the best courses I have taken on Coursera. Every Wharton course I have taken up to now has turned out to be great. Thank you to Coursera and UPenn team.

Very insightful course with various topics discussed in details. The best part is that for every topic, the professors have demonstrated it using Excel alos.

I love how thorough the lecturers were. I didn't have to guess on what i was doing. The information helped me understand very well what was being explained.

This is an excellent course which demonstrates how to use Excel in cases of uncertainty, how to use decision trees, simulate numbers and optimize decisions.

I thoroughly enjoyed the course and was delighted to be reintroduced to the concepts of Statistics and Optimization that I had last dealt with 30 years ago.

Good coverage of fundamentals and has the right amount of concepts and problems to explain the nuances of various forms of operational optimization problems

this was a great course brushed up my mathematical logical skill and it was really worth learning brought a load of insight on analytical problems .

Thanks

Excellent instructors, They explain everything with clarity. Course is essential for Operation aspiring students. It will be helpful in day today activity.

Great learning if you want to understand how to calculate the best options when you have more than one option. It is easy after you learn how to do it.

Thank you very much. This course was explained very simply. With real cases. This is a must for every person willing to make useful business decisions.

Excellent presentation on what entails Operations Analytics. Completely new subject for me and I am delighted with what I have learned in this course.