Jun 16, 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.
Jul 31, 2019
Very nice course for beginner, the mathematic level is not high (around french baccalaureat) so available to everyone. I enjoyed a lot this course that show how simple math can be used in real life.
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 24, 2017
It would have been much more helpful to have practice opportunities besides the exam and exampled. I wanted to try it myself!
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 08, 2017
I felt that there were insufficient examples to help us gain a better understanding of the concepts being taught
By Biryukov V•
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 Yuan Z•
Mar 09, 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 06, 2017
Not enough about formulas or real world application. Was hoping to see examples applied in Excel.
By Sidney A•
May 09, 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 09, 2019
-no explanation on errors
-too theoretical and abstract with lack of examples and own practice
By Siva S B•
Mar 26, 2018
Could have been more advanced from the perspective of practical use-cases of data modeling.
By jyoti v•
Oct 23, 2018
The course is a bit too introductory for me. I'm looking for more challenging material.
By Kangkang W•
Oct 17, 2016
most contents are explicit on ppt, it is sometimes not necessary to view the lectures.
By Dayn R•
Jun 01, 2020
Felt like it could have been a little more plain....less theory, more application.
By Josh R•
May 17, 2020
Lots of information, not much opportunity to apply practical usage to the theories
By martino g•
Mar 30, 2020
Content is good but the teacher is extremely boring. Had to struggle to finish it.