Chevron Left
Вернуться к Fundamentals of Quantitative Modeling

Отзывы учащихся о курсе Fundamentals of Quantitative Modeling от партнера Пенсильванский университет

4.6
звезд
Оценки: 7,139
Рецензии: 1,417

О курсе

How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? The answer is in building quantitative models, and this course is designed to help you understand the fundamentals of this critical, foundational, business skill. Through a series of short lectures, demonstrations, and assignments, you’ll learn the key ideas and process of quantitative modeling so that you can begin to create your own models for your own business or enterprise. By the end of this course, you will have seen a variety of practical commonly used quantitative models as well as the building blocks that will allow you to start structuring your own models. These building blocks will be put to use in the other courses in this Specialization....

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.\n\nthanks

Фильтр по:

1326–1350 из 1,390 отзывов о курсе Fundamentals of Quantitative Modeling

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: Gary V

11 июля 2017 г.

Very basic things that any person with a stats background should know

автор: Alec E

23 июля 2020 г.

Not that enjoyable. Decent information but pretty boring to watch.

автор: Abhed M

12 янв. 2020 г.

It should be more rigorous. I completed this course in three days.

автор: Dominique B

8 апр. 2020 г.

a bit too simple, I would have expected more practical excersises

автор: TheSovereignIndividual

13 апр. 2020 г.

Nice, course - could spend more time on practice and examples.

автор: Anup K D

2 мая 2021 г.

Need more examples. Logarithmic Regression was not very clear

автор: Olivia X

18 сент. 2016 г.

too easy. not enough practical skills or tools teaching

автор: Abhishek P

9 февр. 2017 г.

There should be lab or hands one calculation exercise.

автор: Steeve V

3 февр. 2017 г.

It was theoretical but provided an apt understanding.

автор: Roma

31 мар. 2018 г.

Questions with actual raw data would be helpful.

автор: Craig K

6 мая 2017 г.

More reading about theory than actual doing.

автор: Daguo X

18 апр. 2017 г.

Too fundamental, too easy. No depth in math

автор: Ardavan S

12 апр. 2020 г.

I already knew most of the topics taught.

автор: RADHIKA

8 апр. 2020 г.

Could have added more about monte carlo

автор: Watabe

6 мар. 2016 г.

please improve hand-out for self study.

автор: Ömer B

11 дек. 2020 г.

too basic. but the instructor is great

автор: Lokesh M

13 июля 2020 г.

Good and nice Analysis of each model

автор: komal s

23 мар. 2021 г.

It should have been more practical.

автор: Jeff K

12 мар. 2016 г.

A little too basic, but still good.

автор: Zhao y

22 июня 2017 г.

Review of simple high school math

автор: Mike B

14 дек. 2016 г.

Way, way too basic and hand wavy.

автор: Z.Z. F

1 апр. 2021 г.

Information needs to be updated

автор: Handong D B

26 июля 2016 г.

the lecturer is kind of boring