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Вернуться к Fundamentals of Quantitative Modeling

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

Оценки: 8,047

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....

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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.


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.


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1426–1450 из 1,536 отзывов о курсе Fundamentals of Quantitative Modeling

автор: Dario R J d S

27 апр. 2020 г.

It would be great to give student a list of exercises to practice before the quizzes. It will help understand the content (specially the calculations) better.

автор: Alejandro E S R

15 янв. 2020 г.

More exercises after each concept, and more specifically non-similar to the example exercises might be very helpful in cementing the concept

автор: Shelby P

19 нояб. 2020 г.

High-level review of different methodologies of modelling, however, course lacks deeper-level approach to actually implementing methods

автор: Aditya A M

1 февр. 2020 г.

The Explanation was a little too technical for me. Also I wasn't satisfied with the examples. Other than that, everything was solid.

автор: Ashwini K

13 дек. 2020 г.

I am sure content are quite good as lecture is knowledgeable but the background and material doesn't feel energetic and intuitive .

автор: A D S F J

6 мая 2020 г.

Really helpful in understanding the different models but if you wish to learn a bit more depth of modelling go to the next course.

автор: Raghavendra P

15 апр. 2020 г.

Introduction to various topics is good but I would want to see many more examples where they are applied in real world scenarios

автор: Guilherme R d O N

17 окт. 2018 г.

It could've gone deeper into the topic. Although it's called Fundamentals of quantitative modeling it don't got to be to basic.

автор: Jaison M W R

10 мая 2017 г.

This Course is very good for beginners who have absolutely no knowledge of Modelling. For Professionals, it is not of much use.

автор: Loti K

26 февр. 2017 г.

I was expecting the course to provide insight on how to use spread sheet and its respective formulae in mathematical modelling.

автор: Ali A

11 мая 2017 г.

Well put together, however, if you have had a reasonable high school math education, most of the content will be known to you.

автор: Chad F

23 июля 2017 г.

It would have been much more helpful to have practice opportunities besides the exam and exampled. I wanted to try it myself!

автор: Pratik M

4 сент. 2020 г.

The instructor is good. Course material is very basic. However, it is not for someone having no knowledge of statistics.

автор: Frank

22 мар. 2017 г.

As a guy from Machine Learning field, its models and concepts are so easy and simple for me, so it's lack of challenge.

автор: Yoann D

28 янв. 2019 г.

More concrete exercises would have helped to anchor some principles. This was mostly a succession of videos and a quiz

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.