Learner Reviews & Feedback for Fundamentals of Quantitative Modeling by University of Pennsylvania

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.

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

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.

It is a useful course to help orient and introduce statistical concepts and refresh the toolkits priorly received on college or university studies, however, it should include material for refreshing calculus and other required techniques that are used in this topics to complement the reading/practice part of the week.

Very useful course from a fundamental perspective. It really teaches you the base of all the models and why and how they're formed. It could have been even better if some problems would have been given for practice as after a certain period of time it becomes difficult to recollect the formulas and their applications.

Good course. The professor provided some good explanations and insight. However, I believe it could use a couple more walk-through's of the example problems along with more chances to practice. I think it should also show/explain incorrect answers after quizzes as to deepen the understanding of the person testing.

The instructor is exceptional at taking complex concepts and using examples to make them understandable. There is a lot of information so reviewing the videos within the different modules may be necessary. You will get a lot of good information and understand how to practically apply it. Very useful.

This was a great refresher course into math that I haven't thought about in a really long time. I wish there were more examples through the slides so that I could fully wrap my head around it, especially in relation to the quizzes, but overall, the course was great and did what it was supposed to.

Pros: This is a very good course to start with the quantitative modelling concepts, the professor explains every concept with well defined and structured examples. definitely recommendable to the beginners.

Cons: The professor could use some more practical examples/scenarios to explain better.

it's really a pleasure to get the certificate from such of great university by the deserve and knowledge ...i thanks to all the teachers who help us to achieve and understand the course , i mean it's was really good experience and the lecture that i got we'll help me in my professional life

It could have been more interactive. They should try incorporating a few practice exercises, or ask us to work out solutions to a few problems before the actual assessment.

Other than that, it is a really well explained lecture, and trains you in the fundamentals of quantitative modeling

The course is relatively easy if you have taken economics, linear algebra, and probability and statistics in college. It's more like a review. This entire specialization does not applies more broadly to any quantitative models than just a DCF model that investment bankers would use.

Should have short sets of practice problems to work through between the lecture and the quiz. While I can often go back and just find the answer from my notes, drilling is the best way to learn stuff like this imo, and at least optional problem sets would be hugely helpful.