Вернуться к Fundamentals of Quantitative Modeling

4.6
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Оценки: 8,336

## 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

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## 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.