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Вернуться к Fundamentals of Quantitative Modeling

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

4.6
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Оценки: 6,498
Рецензии: 1,296

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

Jun 16, 2019

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.

NC

Jul 31, 2019

Very nice course for beginner, the mathematic level is not high (around french baccalaureat) so available to everyone. I enjoyed a lot this course that show how simple math can be used in real life.

Фильтр по:

1201–1225 из 1,268 отзывов о курсе Fundamentals of Quantitative Modeling

автор: Eike A H

Sep 09, 2019

-no explanation on errors

-too theoretical and abstract with lack of examples and own practice

автор: Siva S B

Mar 26, 2018

Could have been more advanced from the perspective of practical use-cases of data modeling.

автор: jyoti v

Oct 23, 2018

The course is a bit too introductory for me. I'm looking for more challenging material.

автор: Kangkang W

Oct 17, 2016

most contents are explicit on ppt, it is sometimes not necessary to view the lectures.

автор: Dayn R

Jun 01, 2020

Felt like it could have been a little more plain....less theory, more application.

автор: Josh R

May 17, 2020

Lots of information, not much opportunity to apply practical usage to the theories

автор: martino g

Mar 30, 2020

Content is good but the teacher is extremely boring. Had to struggle to finish it.

автор: Paul M

Jul 07, 2020

My name was spelled incorrectly on my certificate, how to do I correct this?

автор: Mathew L

Apr 27, 2016

I would have liked the quizzes to explain why an answer was right or wrong.

автор: Brendan C

May 22, 2018

good course, quizzes should not be locked though...disappointed with that.

автор: Deleted A

Feb 19, 2018

I think the contents of this course can be more difficult and challenging.

автор: Michelle l G

Feb 09, 2017

It was an interesting module, however, not sure how I will apply this in

автор: Gary V

Jul 12, 2017

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

автор: Alec E

Jul 23, 2020

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

автор: Abhed M

Jan 12, 2020

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

автор: Dominique B

Apr 08, 2020

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

автор: TheSovereignIndividual

Apr 13, 2020

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

автор: Olivia X

Sep 18, 2016

too easy. not enough practical skills or tools teaching

автор: Abhishek P

Feb 09, 2017

There should be lab or hands one calculation exercise.

автор: Steeve V

Feb 03, 2017

It was theoretical but provided an apt understanding.

автор: Roma

Mar 31, 2018

Questions with actual raw data would be helpful.

автор: Craig K

May 06, 2017

More reading about theory than actual doing.

автор: Daguo X

Apr 19, 2017

Too fundamental, too easy. No depth in math

автор: Ardavan S

Apr 12, 2020

I already knew most of the topics taught.

автор: RADHIKA

Apr 08, 2020

Could have added more about monte carlo