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
автор: Charles b
•11 июля 2016 г.
GREAT MATERIAL
автор: Nisheeth N
•25 дек. 2019 г.
Great Course!
автор: Sajjad H S
•24 июня 2020 г.
Good course.
автор: Divyam A
•12 апр. 2020 г.
Basic Course
автор: Hongbo Q
•12 июля 2018 г.
有一点简单,很基础的课程
автор: Shivani J
•4 дек. 2016 г.
great course
автор: nicholas m
•11 окт. 2016 г.
Great course
автор: rao s
•28 мая 2019 г.
really good
автор: Alex B
•25 мая 2016 г.
Good review
автор: Narek
•20 мар. 2016 г.
Good course
автор: Daniel P d R E
•16 июля 2020 г.
Too simple
автор: Quantum P
•3 нояб. 2019 г.
Too simple
автор: Sagar A
•26 апр. 2018 г.
too simple
автор: Ishan B
•11 сент. 2018 г.
excellent
автор: BAI Y
•28 апр. 2020 г.
Not bad
автор: Luis E H A
•9 мар. 2017 г.
Great
автор: Sylvia S
•18 сент. 2020 г.
good
автор: Shrenik V Z
•8 янв. 2018 г.
Good
автор: Nikita R
•29 окт. 2021 г.
NA
автор: pravar n
•18 июля 2022 г.
.
автор: mahee r
•27 авг. 2017 г.
V
автор: Yangzhi G
•24 июля 2017 г.
g
автор: John C
•30 апр. 2018 г.
I liked Professor Waterman; he is clear, gives examples, and doesn't just drone over the slides like my statistics professor did in college. However, the course itself felt a little too simplified. For example, when I arrived at the topic of multiple regression, concepts like collinearity and omitted variable bias, which are crucial to understand the fitness of your model, were not mentioned. This was a bit concerning because most business operations, I would assume, have multiple variables in play and would seem more practical to have a more in-depth focus on models reflecting that characteristic.
автор: Erik B
•2 июня 2016 г.
The materials in this course were great, but some of the math was not properly explained enough for the individuals to be able to see how the formulas were derived - especially some of the basic calculus and the regression materials. I believe it would have only added 5-10 more minutes in one or two modules to do so since there were so few examples given (This could be covered in subsequent courses within the specialization - I am not sure yet as I will be taking course #2 in the specialization starting next week). Otherwise, this course was a great overview of the types of models used.
автор: Ken O
•20 дек. 2017 г.
Content
This is essentially a statistics course couched in business terms, with a smattering of finance. The term quantitative modelling' is just how 'stats' has been 'rebranded' in the modern era. That is not a criticism from my point of view, but worth mentioning.
Difficulty level
Ultra-challenging for non-mathematician 'analysts'. The material is also structured sub-optimally. More cohesion would aid understanding. But the course is often rivetting and informative in ways that other groundings in stats fail to be, in my experience.
Conclusion
Difficult, but well worth the effort.