Module 1,2 and 4, excellent modules. Clear information and great content. Powerful modules. Module 3 was confusing and I don't understand how this module 3 matches with the whole specialization program. Explanations do not contain all the information needed and it's difficult to understand. My suggestion is that module 3 can be structured again to have the high quality observed of the entire program.

I found useful how to obtain a histogram for discrete distributions. Yet, I think it would have been really important if the professor could have explained more methods to test what kind of distribution the data is related with. All the methods we used relay on know what probability distribution we are working with but if we are not sure which one we have, then the methods would not be as helpful.

really, good, and the excel models, rock!! However week 3 was a little messy, hard to understad, teacher introduced lots of math formulas that came with no explanation, and no use. I dont think this course is for matematicians but for buisness administrators of financial related fields, so getting deeper into math formulas that will never be used is pointless, in real life we will use just excel

The course is good. The explanations and material presented by Prof. Savin are excellent. Unfortunately, I can't say the same for the material and the explanations provided for the sessions conducted by Prof. Veeraraghavan. It is the quality of the sessions conducted by Prof. Savin that give 4 stars to the course. Otherwise the rating would be much lower.

It was an interesting insight. Especially for beginners I would recommend it. Is also suits the previous courses well (Fundamentals of Quantitative Modeling and Introduction to Spreadsheets and Models). I study finance and economics, so it was a bit too basic though. The Excel features are nice though and something that you would use yourself so easy.

Good intro course. I learned how to use excel to build models and optimize output parameters, and how to run simulations using common with inputs derived from common distributions. East to follow, good tests. I did wish there was more depth, like extra credit harder problems that build more complex models that more accurately describe reality.

This was a great course; very good explanations teoretical and practice, you gave us powerful tools to analyze data and took the necesary time for cover the topics. Maybe you can add in the future some exercises that we have to upload for review among each other students. Thank you very much for share this tools and your knowledge.

I really like how Pr Sergey Savin really trying to explain all the concepts in modeling risks, while other professor just went over his video lectures without good explanations of what's really going on. So I would rate this course just to see the Pr Savin's videos, really worth it.

The content was great and informative, was too focused on optimization but I learned a lot of new things I hadn't known before. Week 2 on fitting distributions was somewhat confusing due to the fact that the lecturer wasn't going into enough detail on what he introduced.

Some of the course repeated other courses in the Business and Financial Modeling Specialization (and they sometimes repeated themselves within the course), but overall I found it very well-organized. The last week of the course really brings all concepts together.

The course was really interesting, sadly the 3 week was lacking of real application and make it difficult to be able to answer the quiz without going on internet and looking for more clear information. Still a great course.

Please allow Prof. Sergey to take this course. Week 3 was crap because the instructor gave no real-world examples to push home the concepts he was propagating and his english is really hard to comprehend as well.

Introductory course in Risk Modelling to be considered as a gentle introduction to concepts of Expected Return and Standard Deviation in business settings with the use of Excel solver and Data Analysis Toolpak.

Highly focused on statistics and distribution's fitness onto models, this module will allow you to acquire a toolkit to decide whether wich distribution fits best in your reality, and apply it successfully.

The content is very clear except in week 3. It is too theoretical and doesn't have any example to support. While I asked some questions in forum, there is no staff come to help me to solve my questions.

one of the best, as a data analyst this course will give you the necessary knowledge needed in business intelligence and financial modelling. The last week was very challenging but apt.

Awesome couse for learning applications of statistics in real world problems. They show how can we optimize the results using the most common tool among all business environments: excel.

4 starts only because Week 3 lecturer is not good at all. hard to follow, leaves things on slides unexplained. throws bunch of formulas forever without showing it in excel.

Not too bad of a course. Fairly beginner but there is some interesting things to learn. I would recommend watching the videos at 1.5x speed because they speak fairly slow.

Sergei should be more empathic, sometimes it feels boring; despite of that the entire course is great.

I would have love to practise a little bit more of simulation.

Overall very interesting. Just week 3 was very hard to understand and the quiz had NOTHING to do with what the professor was explaining. He was very disorganized

Overall very interesting, though the teachers waffle a bit at times and question 4 in the final test is not of an acceptable standard for a fixed course.

Good course, explanations sometime a bit hard to follow, but came away with a pretty solid understanding of how to run constraint optimizations in Excel.

It's hard to understand an accent and learn a brand new material at the same time. Having subtitles was very much helpful. Great course overall, thanks!

Professor Senthil ruined Week 3 with no explanation and reading exactly the same story from the slides. Rest course is interesting and engaging. Thanks.