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Вернуться к Fundamentals of Quantitative Modeling

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

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Оценки: 8,043

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.

thanks

Фильтр по:

1451–1475 из 1,536 отзывов о курсе Fundamentals of Quantitative Modeling

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.

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: 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: Chalal S

8 окт. 2021 г.

The explaining is good, but the concepts in the course are basic.

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: Aeshvry R

18 февр. 2022 г.

Was little difficult and had non engaging lectures