15 июня 2019 г.
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.
30 нояб. 2020 г.
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.\n\nthanks
автор: Ali A•
11 мая 2017 г.
Well put together, however, if you have had a reasonable high school math education, most of the content will be known to you.
автор: Chad F•
23 июля 2017 г.
It would have been much more helpful to have practice opportunities besides the exam and exampled. I wanted to try it myself!
автор: Pratik M•
4 сент. 2020 г.
The instructor is good. Course material is very basic. However, it is not for someone having no knowledge of statistics.
22 мар. 2017 г.
As a guy from Machine Learning field, its models and concepts are so easy and simple for me, so it's lack of challenge.
автор: Yoann D•
28 янв. 2019 г.
More concrete exercises would have helped to anchor some principles. This was mostly a succession of videos and a quiz
автор: Nilesh K S•
30 мар. 2020 г.
This subject is totally numerical based, There should be more focus on numerical instead of theoretical knowledge.
автор: Zack Y•
8 окт. 2017 г.
I felt that there were insufficient examples to help us gain a better understanding of the concepts being taught
25 февр. 2020 г.
Many of the fundamentals are not explained. For example in Week 4 it is not explained how to calculate R2 or r
автор: Prannoy K•
16 февр. 2016 г.
Assignments should be evaluated for all users (unpaid ones as well) like it is done for other Wharton courses.
автор: Charles C W•
10 мая 2018 г.
Perhaps I was expecting too much given the reputation of the institution, but this is a course for beginners.
автор: Pedro B•
17 июня 2017 г.
Could come a bit deeper in more complex examples at the end of the course. Most of them were too simple.
1 февр. 2021 г.
I think this course is too easy for students with Probability and Mathematical Statistics knowledges...
автор: Yuan Z•
9 мар. 2019 г.
General description of the modeling, need further work or pre-understandings for some of the contents.
автор: Johnny V•
10 июля 2016 г.
Felt a little rudimentary until the last week. I hope the specialization picks up after this point.
автор: Michael S•
6 дек. 2017 г.
Not enough about formulas or real world application. Was hoping to see examples applied in Excel.
автор: Sidney A•
8 мая 2016 г.
Nice primer for modeling, but wish there were more workable problems to help hit the point home.
автор: Bharat J•
20 июня 2020 г.
Too descriptive for a quantitative course. Would've preferred more problem solving exercises.
автор: Eike A H•
9 сент. 2019 г.
-no explanation on errors
-too theoretical and abstract with lack of examples and own practice
автор: S B•
26 мар. 2018 г.
Could have been more advanced from the perspective of practical use-cases of data modeling.
автор: jyoti v•
23 окт. 2018 г.
The course is a bit too introductory for me. I'm looking for more challenging material.
автор: Kangkang W•
17 окт. 2016 г.
most contents are explicit on ppt, it is sometimes not necessary to view the lectures.
автор: Josh R•
17 мая 2020 г.
Lots of information, not much opportunity to apply practical usage to the theories
автор: martino g•
30 мар. 2020 г.
Content is good but the teacher is extremely boring. Had to struggle to finish it.
автор: Paul M•
7 июля 2020 г.
My name was spelled incorrectly on my certificate, how to do I correct this?
автор: Mathew L•
27 апр. 2016 г.
I would have liked the quizzes to explain why an answer was right or wrong.