The course was very well structured. I liked the way the material was introduced and explained. it was very easy to follow. The use of the IDEA case study throughout the course was excellent. Supplementary examples and quiz questions offered good insights into the material. Use of excel features was done exceptionally well. Thanks for showing us how to use the solver and random number generator. Last example brought the elements together very well. Additional lecture on converting a non-linear problem by introducing additional decision variable and constraints was appreciated. Though i was going to see something on exponential smoothing (advanced material) - did i miss something?

Even though i have studied most of it in my Intro to data analytics class, but i believe after taking this course, especially the topics like decision tree, which seemed very difficult back then, now has become very clear. Especially, taking the 100% in week 4 was very reassuring for me! I would definitely recommend this course to anyone who wants to pursue his career in in any kind of analytics; in fact, i think decision making is not/shouldn't be limited to analytics field; we make decisions in every field, hence everyone must take this course. The faculty of Wharton School of Business is also simply amazing!

Well, it was a superlative course, to say the least. As a person having expertise in finance and quantitative analysis, this course leveraged my skills , while adding immensely to them.

I knew Excel as a beginner, but the course exposed me to its immense potential. Predictive statistics, decisions under low uncertainty using Solvex and Data Analysis, exposure to Decision Trees and their interpretation from a risk-reward angle- all these were laid out in a very interesting manner. This enabled practical and inquisitive learning, making you hungrier for more courses as well planned as this one.

The lectures were enjoyable, and the optional problem sets taught me a lot about how to apply the lessons learned in real life. The quiz tested the fundamentals of each chapter and was thought-provoking. Excel's ability to solve linear and nonlinear optimization problems, as well as its analysis tool kit features for running simulations, both impressed me. I also enjoyed the decision tree lecture and understood how to apply it in real-life situations. Undoubtedly, I will apply what I've learned in my daily work to better manage uncertainties.

This course serves a great purpose for people who'd like to explore their analytical skills and apply the same into the real-world problems in a business. The use of practical examples using excel has played a very important role in adding to the quality of this course. Moreover, the instructors have been great and have explained all the concepts thoroughly. This course has been a great learning experience for me and I'd like to thank all my instructors who had a part in making it so as well as Coursera for providing me with this opportunity.

I have been waiting to dig deep into decision sciences and the methods used by industry experts for forecasting. The program has been drawn very cautiously. I am obliged with the specific techniques used for explanations including very sequentially drawn excel templates. I am certain the learnings will help me a lot in my future. I just had quick feedback- while doing the Customer Analytics courses, a lot of links were offered as additional study material while the same is missing in the operations analytics course. Please do add!

I just finished this course a few minutes back. The course material is quite good. There is not much load and it is easier to complete the entire course in a week's time - if you have time on your hands. Don't be too stressed out about the assignments - they are extremely easy and most of them can be solved with a paper and a pen. I learnt quite a bit about "structuring" and "modeling" problems and that was quite useful. Would strongly recommend this to anybody who is interested in moving into an Operations Role.

All professor in this course are very clear with its explanation, including the simulation of calculation for each case. Though this is the basic of operation analytics we should understand, I think every learners should tackle more complex problem in real life by experiencing more real cases (to kick start, can follow prof advices from big corporate cases).

Overall I'd like to thank to professors for all efforts, to make us understand this far

From a POV of someone with no business analytics background, this Operations Analytics was excellent. The course guides you through the basic tools you need to make practical operations-related decisions. The instructors are not rushing through the discussion, which allows you to properly process the information. They also provide practice excel sheets so that you can run/analyze the data together, which was extremely helpful!

Finally came to understand the gradual difficulty of these series of courses. Apparently, Course 2 appears a bit more difficult than customer analysis. Course 1 prepares me for a very solid foundation, which allows me to have a better understanding of decision tools behind. All professors provide vivid and excellent lectures on optimization and simulation tools and decision trees. I am very confident to have the next course.

Week 1 professor did a decent job in explaining the material for the course. He also provided word for word slides which was critical for studying given we are not in a face to face scenario in which questions and answers can be done in real time.

Week 2 should have followed the word for word slide approach.

The quality of instruction is less captivating/ less engaging than I would have expected from Ivy League Instructors.

The progression of this course was just right and although some of it was over-explained (for me), I would prefer that to the instructors assuming knowledge that I may not have yet. The review sections and practice problems really helped to cement the methodology. I will be able to put these tools to work immediately in my role as Director of Analytics and Reporting. I'm looking forward to the balance of the courses.

This course was very insightful as I was able to utilize the knowledge and problems I learned in my undergraduate degree and see how it can be applied in the real world. I was fairly excited to be able to learn more about the functions in MS Excel for optimization and generating simulations in regarding to numbers and tests to predict future profits. The professors are very knowledgeable and taught the course well.

Te course has been designed to teach about using data to forecast, optimize and take better decisions. Having spent a long time in the Corporate world , I feel the problems addressed should not have been so simplistic as the decision at work are more complex and uncertain. I loved week 1's session , it was thoroughly designed to lay a very solid foundation and I applaud Prof Senthil for the efforts he has taken

This is simply an awesome coursework put up by the faculty at Wharton!

Thanks again for the great help out there by making complex decision making look like a piece of cake.Now I know that these example sets are really on a small scale and that the real decision problems are a tough cookie but at the very least, now I know the way to the optimal solution and have gained the confidence in gaining it so.

Wharton School again succeeds in its online course. I keep wondering their ability to concentrate on main topics, explain difficult theory with simple words and examples. Course contains theory and practice problems, quiz covers course material. I have great insights about operational analytics. Course is totally worth to watch. Thank you Wharton for sharing you knowledge and expertise with the world!

Even though I had been previous learning these materials during my college time, I still find it really beneficial to take this course. The method of running simulation, undertake decision tree when you faces real time business issues is practical and helpful. I think I would take further study to use these techniques in the future. Thanks for the videos and materials presented by professors.

I am highly grateful to the content creators of this course who have put out such a wonderful course for people who want to get into the world of Operations. This course gives an insight on how concepts of Simulation and Decision Trees can be applied for Optimization problems through the use of Excel Solver.I would highly recommend this course for everyone interested to learn this course.

Very well-detailed instruction and solution. Thanks to this course I have gained a much deeper insight about the way of using data in solving business problem. Problems about distribution, or choosing quantity to product have been well-solved by tools such as simulation or optimization. In the end, I hope that these knowledge I have accumulated can be used in the near future

This is by far the best Wharton course on Coursera. The course materials are well prepared and easy to follow. It is really nice to have practice questions so I can test my understandings before to take the Quiz. The instruments in Quiz are well designed and no outliners appears. Overall, this course set the bar of outstanding quality of an online learning experience.

This course builds upon the foundational principles discussed in Customer Analytics. As with the initial period of study, I like their innovative teaching methods introducing concepts and applying them to examples of common business problems using optimization and simulation toolkits. I’m looking forward to the next course as I continue to enhance my decision-making.

course is very engaging with excellent design and delivery, the course instructors, content are sharp so complex mathematical models simulation, optimization and decision trees are broken down into very basic issues then building upon the basics to cover real life complex operational challenges. relates very well to reality. exceeded my expectations in every way

Perfectly explained course if you want to deal with data specially when uncertainty is involved in the future while you are making predictions on your data. Apart from that a lot of inbuilt excel tools(solver,random number generator) used for solving complex problems involving constraints came in handy which before this course i had no knowledge about.

The Course instructors did a tremendous job taking hard/difficult concepts and distilling those concepts into simple to follow examples. They broke problems into pieces which allowed each video/section to build on one another--this approach was quite effective at starting simple and becoming more complex over time. I highly recommend this course.

Thank you to the Team of Mentors on Operations Analytics. It has been a really interesting course and a great learning experience with professional mentors and teaching methodology. I really enjoyed it and do recommend it to all those seeking even the basics of number/data management for any business or department within any organization.