Отзывы учащихся о курсе Fundamentals of Quantitative Modeling от партнера Пенсильванский университет
О курсе
Лучшие рецензии
AP
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.
S
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.
thanks
1476–1500 из 1,574 отзывов о курсе Fundamentals of Quantitative Modeling
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
автор: Victor
•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.
автор: dianthera
•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: Juan C P
•17 авг. 2022 г.
Ejercicios que requieran de mayor complejidad práctica pueden resultar beneficiosos
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.
автор: Brendan C
•22 мая 2018 г.
good course, quizzes should not be locked though...disappointed with that.
автор: Deleted A
•19 февр. 2018 г.
I think the contents of this course can be more difficult and challenging.
автор: Michelle l G
•9 февр. 2017 г.
It was an interesting module, however, not sure how I will apply this in
автор: mugdha
•28 нояб. 2022 г.
The course is great but a bit detailed one would actually be amazing.
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