Jun 15, 2019
Very clear and articulate explanation of the concepts. He doesn't skip a step in the sequencing ideas, drawing comparisons and differences, and illustrating both visually and story-telling. Excellent.
Nov 30, 2020
for the beginer like me i have experience in banking of 8 years still for me this fundamentals are new specially quantitative modelling.Kindly provide banking related examples in here too.
By Ashwini K•
Dec 13, 2020
I am sure content are quite good as lecture is knowledgeable but the background and material doesn't feel energetic and intuitive .
By A D S F J•
May 6, 2020
Really helpful in understanding the different models but if you wish to learn a bit more depth of modelling go to the next course.
By Raghavendra P•
Apr 15, 2020
Introduction to various topics is good but I would want to see many more examples where they are applied in real world scenarios
By Guilherme R d O N•
Oct 17, 2018
It could've gone deeper into the topic. Although it's called Fundamentals of quantitative modeling it don't got to be to basic.
By Jaison M W R•
May 10, 2017
This Course is very good for beginners who have absolutely no knowledge of Modelling. For Professionals, it is not of much use.
By Loti K•
Feb 26, 2017
I was expecting the course to provide insight on how to use spread sheet and its respective formulae in mathematical modelling.
By Ali A•
May 11, 2017
Well put together, however, if you have had a reasonable high school math education, most of the content will be known to you.
By Chad F•
Jul 23, 2017
It would have been much more helpful to have practice opportunities besides the exam and exampled. I wanted to try it myself!
By Pratik M•
Sep 4, 2020
The instructor is good. Course material is very basic. However, it is not for someone having no knowledge of statistics.
Mar 22, 2017
As a guy from Machine Learning field, its models and concepts are so easy and simple for me, so it's lack of challenge.
By Yoann D•
Jan 28, 2019
More concrete exercises would have helped to anchor some principles. This was mostly a succession of videos and a quiz
By Nilesh K S•
Mar 30, 2020
This subject is totally numerical based, There should be more focus on numerical instead of theoretical knowledge.
By Zack Y•
Oct 8, 2017
I felt that there were insufficient examples to help us gain a better understanding of the concepts being taught
Feb 25, 2020
Many of the fundamentals are not explained. For example in Week 4 it is not explained how to calculate R2 or r
By Prannoy K•
Feb 16, 2016
Assignments should be evaluated for all users (unpaid ones as well) like it is done for other Wharton courses.
By Charles C W•
May 10, 2018
Perhaps I was expecting too much given the reputation of the institution, but this is a course for beginners.
By Pedro B•
Jun 17, 2017
Could come a bit deeper in more complex examples at the end of the course. Most of them were too simple.
By Mingyu W•
Feb 1, 2021
I think this course is too easy for students with Probability and Mathematical Statistics knowledges...
By Yuan Z•
Mar 9, 2019
General description of the modeling, need further work or pre-understandings for some of the contents.
By Johnny V•
Jul 10, 2016
Felt a little rudimentary until the last week. I hope the specialization picks up after this point.
By Michael S•
Dec 6, 2017
Not enough about formulas or real world application. Was hoping to see examples applied in Excel.
By Sidney A•
May 8, 2016
Nice primer for modeling, but wish there were more workable problems to help hit the point home.
By Bharat J•
Jun 20, 2020
Too descriptive for a quantitative course. Would've preferred more problem solving exercises.
By Eike A H•
Sep 9, 2019
-no explanation on errors
-too theoretical and abstract with lack of examples and own practice
By S B•
Mar 26, 2018
Could have been more advanced from the perspective of practical use-cases of data modeling.