The lecture is clear, but it's a fundamental lesson which could not learn many things, just theories. Furthermore, I suggest that there should be solution hints for Quiz, because students will be frustrated by not knowing the answers and not knowing how to fix them. In addition, the discussion broad is a little bit cold and lack of mentors to help students.

The theory part is good but it is not explained with how the equation or graph is created, only meaning is explained which makes the course less dynamic as at the end of the course one feel that the knowledge is incomplete and have to go back and reunderstand when I will understand the logic and how those equation or graph is developed.

The course was helpful to understand key statistical concepts but I hope it would have been worked on a little bit more to make it less boring. I do understand it's rather difficult to make quantitative courses interesting but this is just my feedback to the makers of the course so they can take it into account as and if they desire.

This course was a good refresher of mathematical and statistical concepts. I found the mathematical and statistical concepts applied to modelling interesting. I never knew that what I learned in high school in the past can actually be used to come up with models to solve business problems. Some videos were a bit long though.

I thought this course was going to talk more about quantitative investment model, there's going to be more finance knowledge, but it's totally mathematical models, and I had actually learnt these mathematical models in other courses. I don't think the name of the lecture and introduction perfactly matches the contentIs.

This is a quick run-through different types of distributions. I found it useful as a recap of things I learned in high school (!) and there were some additional insights. However, I think this course might be hard if you never did any more advanced (high school) math.

Good Course but the lecturer misses a lot of details and assumes the target students understand most of the basic math such as logarithms. Without further researching those concepts, the equations are a bit difficult to understand and interpret in a practical way.

I believe this was a very good course for beginners. However, from Wharton, I would have expected more realistic examples. I would have also liked some hands-on assignments. But, otherwise.. Great, great course from a beginners point-of-view! Thank you so much!

The performance of the teacher was excellent, he is very communicative and you could watch him teach for hours, the reading material though should be more helpful, more available sources for further reading and any book chapters or hall books would be ideal

It would have been nice to have some of the back work for some of the numbers provided in the RMSE, or R squared numbers. To better understand how those were calculated... instead of just taking someone's word for it.

There is a fairly good explanation, but the calculation method should be explained in detail how the numbers of the answers are calculated, and in the question form, there should be an answer to every question.

The course covers a variety of concepts regarding the quantitative modelling which is good, but the description is very shallow. It would have been even better had it described concepts in more detail.

I found this course a beginner level plus as it's one of the modules of Business and financial modelling I prefer to have some practical education in this module to how to use these in a spreadsheet.

Very basic stuff, not sure if it really helped me learn new things, just a bunch of terminology. Very well explain, perhaps I didn't fit the target audience (then again I'm just a student right now).

Maths level required is really low while in the mean time explaining technical aspect but not digging in. Explanation are sometimes not enough to understand what the calculation steps really are.

I think the course was helpful in teaching about what the concepts are but it did not really go step by step on how models were generated. Overall a good overview of different models though.

Course is helpful as a refresher to econ and business students who took some statistics in college. Someone who has never taken such courses will probably find this course much less helpful.

A good course, but I had to use a lot of outside resources to wrap my head around the math. This course requires substantially more mathematical knowledge to move forward than it suggests.

the questions, even though the niveau is quite low but you don't really get any great insight and may be wrong if you didn't hear or read a word., Even though you've understood it.

Not really what I expected to learn. In the end it was more towards solving maths questions rather than learning about finance related. Probably my bad. but still good knowledge.

More calculous should be applied to the course. Fundamentals of Quantitative Modeling is not only about the theory it should include more mathematical practice and analysis.

Useful Fundamentals, basic but helped to refresh college contents.

Coherent exams.

Could go deeper on the mathematical concepts and examples for better understanding.

It would be great to give student a list of exercises to practice before the quizzes. It will help understand the content (specially the calculations) better.

More exercises after each concept, and more specifically non-similar to the example exercises might be very helpful in cementing the concept