I'd give 5 stars if only we can see answers & explanations after finishing the quiz. I understand why answers aren't shown, probably because it's to prevent people from memorising answers before re-attempt the quiz to get pass. However, this can be circumvented by showing answers to people who have passed for the first time - and not record scores after that. I've been frustrating with not knowing where I got wrong. Although I can ask in Forum, it's hard for me to replicate what the selected/unselected choices are.

The content was very useful. The instructor is great and his presentations are very helpful. I rank this course with 4-stars because during the tests i couldn't see the explanations of my wrong answers. I have sent a ticket for an explanation but i haven't received an answer yet. Lastly, we haven't been tough how to transform back a log regression and i believe that you should add an extra presentation for math problems like this. Thank you for the knowledge, i am looking forward for the next course.

The course is informative and does its job of introducing the approach to modeling pretty nicely. It could be made more rigorous by going in-depth about probabilistic models, particularly the Monte Carlo simulations and the Markov models.

I would like to thank Prof. Richard Waterman and the Coursera team for making this course available. Prof. Waterman is precise and to the point. Those who find the video lectures to be slow paced (which includes me as well ) can watch it at 1.5-2X speed.

The instructor is very good at explaining a wide range of notions used in business modeling, statistics and probability theory. Would have liked to get a bit more in-depth insight into certain topics but this course is called "Fundamentals of Quantitative Modeling" and does very good what is supposed to do.

The reason I am not giving it a perfect score is because I felt like the assignments were too easy and the videos were a bit too long relative to the amount of information provided.

Course provides a sound foundation in quantitative modeling. Instructor is clear and provides real world examples. I like that I could download the course powerpoint which allowed me to take notes while watching the videos. I feel confident about proceeding to the next course and hopefully through the entire specialization. The only reason I didn't give the course 5 stars is because I think there could be better tie-in with the e-book. I found the e-book to be marginally helpful.

The model is very good and the presentation skills of the professor are excellent. The slidesdeck is also good quality but I have missed Excel models to see how the examples were calculated. Most of them are simple but sometimes, such as when dealing with regressions for log-log models or multiple regression, seeing the data and the calculation in Excel could help. Also, once the tests have been done, there is no way to see how wrong-answered questions could be answered.

Good course content however the course doesn't go in to the depth that I was expecting. This is a survey course for people who want a very high level introduction into the subject. If you are expecting something closer to a graduate level course then this course is not for you. If you want to simply familiarize yourself with the fundamentals to then further understand your gaps and further opportunities to improve in a particular subject then this is a good course.

The is an excellent course. However, in the event someone takes the quiz and passes with only 1-3 questions incorrect, that the answers be displayed so that the student can rework the questions in their own time. Please note that the answers will only populate if the quiz is passed. That way those who fail will have to go back to their notes and review, without having the correct answers provided to them.

Great course if you want to go deep into quantitive modeling. I personally would have appreciated more examples and more interactive exercises to fully understand how to put all the theory (which is a lot) in practice, making it useful for the real world and to solve business decisions. Overall is good, estimate to dedicate 50% more time of what the course last, at least that is my experience.

An interesting introduction into the quantitative modelling which served as a good platform for reviewing the basic modelling techniques widely employed. A grasp of applied mathematical concepts is valuable as the course does not go into depths on calculations however I expect those who continue on with the successive modules will have the chance to apply their knowledge to real life studies.

Course content is great, give a nice overview of the entire modeling process which I lacked in school. Only thing (quite annoying though) is the speaking style of the professor, just wasn't for me. Feels like I hurried to complete the course just to saving myself from that voice. Definitely recommend the course though, since the content is great and seems like a good specialization series.

actually, theres something i would like to ask

in the assignment part if you guys could provide the answer with solution later after clearing the test so that answers which are wrong or we couldn't do , we could get the concept and answer of it

also the assignment of module 3 and content doesnot match with each other

apart from the examples delivered no other examples of real life is clear

This was a very informative course. I personally would have liked the course to be a bit more intensive on the math side, but I can understand that the entire target audience may not necessarily feel the same. I think that the course could have gone in depth for other kind of models such a monte carlo, markov chains, probability trees as well. Apart from that the course was quite good.

Professor Waterman is skillful with his teaching, I was able to understand the course from a non business and mathematical major. There a just certain things that made it quite difficult for me was that Prof. Waterman has a slight habit of murmuring, so I have to repeat the video and some formulas that I didn't technically understand because wasn't discussed in a detailed manner.

Very good course which provides of an overview of what fundamental of quantitative modeling is. The professor gives a practical examples in how to apply in real life the modeling. I think he is an excellent lecturer in this subject. I have seen these topics many years ago and now I have to review them and study to apply in my job and make my life easier and practical. Thanks!

Course is overall nice and is essential if you want to have a strong base in financial concepts but I think log - log model is a little advanced and difficult for beginner I mean the other concepts are been explained so well that a beginner can try hands on in modelling , but I want to say I m grateful that I attended this course because it had made my roots way strong.

Helpful course in that it introduced the baseline topics in quantitative modeling. I would have liked to see two things improve, however. First, this course doesn't give any refresher or examples on how to calculate set up and calculate some of the models and summaries presented. Second, I would like more assignments rather than a simple multiple choice exam.

Great course but the exams really need to have explanations for the answers to each question. Very frustrating to get things wrong and not know what the right answer is and why. Also, sometimes the exam marks you wrong when the answer is right! I had to email the actual professor of this course to confirm that an answer on the test was marked incorrectly.

The course was a good introductory course in quantitative modeling. I would have liked if the course required more problems to be done to gain some skills and a better and deeper understanding of the subject. I would say though that it was presented very clearly and was approachable, even for someone that hasn't taken calculus or statistics in 25 years.

The instructor presented the lessons well and explained the ideas and uses behind the models thoroughly, but it felt like this course brushed over some of the equations in the later modules without breaking them down enough for the novice. Without a background in Probability and Statistics, the math was doable, but difficult to grasp in a meaningful way.

This is a very concise yet informative course. Ideal for people who can't dedicate a lot of time to learn about modeling, regression, etc and don't want to get into the rigorous mathematical aspects behind these concepts. Being an introductory course, this course satisfactorily provides a cursory glance at the content matter. All in all a Good course

This class is served as a great starting point to entry level fundamentals of quantitative modeling. The instructor walks you through easy to understand concepts through practical applications. A lot of the theory is not explained however. But, this is a free, entry level course, and still full of great info starting out. Thank you!

I was a bit apprehensive about this course, based primarily on its title.

The professor's lecturing style made learning very easy.

The quizzes achieved a near perfect balance between theory and equations.

The final module was rather complex and might have benefited from a little bit more explanation.

Overall an excellent course

the course is well designed , from basic to a higher level and. Even though I knew the math functions , I learnt how useful and suitable in financial world.

Only suggestion: add more examples so that attempting the assignments becomes even better. examples are appreciated in pdf form if not included in the lecture videos.

This course gives a good overview of different models and when you'd use them. It's pretty basic so if you've ever done economics or finance before, you'll find this repetitive. That being said, I found it to be a decent refresher course. The instructor is a bit dry, but it's rare to find a finance professor who's not.