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學生對 宾夕法尼亚大学 提供的 Fundamentals of Quantitative Modeling 的評價和反饋

4.6
4,703 個評分
903 條評論

課程概述

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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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.

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776 - Fundamentals of Quantitative Modeling 的 800 個評論(共 879 個)

創建者 KANHU C R

Nov 25, 2019

AMAZING COURSE

創建者 樊荣

May 04, 2019

Too elementary

創建者 Sphelele

Mar 10, 2019

a great course

創建者 Charles b

Jul 12, 2016

GREAT MATERIAL

創建者 Nisheeth N

Dec 25, 2019

Great Course!

創建者 Hongbo Q

Jul 12, 2018

有一点简单,很基础的课程

創建者 Shivani J

Dec 04, 2016

great course

創建者 Nicholas M

Oct 12, 2016

Great course

創建者 Siddharth G

May 28, 2019

really good

創建者 Alex B

May 26, 2016

Good review

創建者 Narek

Mar 20, 2016

Good course

創建者 Alan

Nov 03, 2019

Too simple

創建者 Sagar A

Apr 26, 2018

too simple

創建者 Ishan A

Sep 11, 2018

excellent

創建者 Luis E H A

Mar 10, 2017

Great

創建者 Shrenik V Z

Jan 08, 2018

Good

創建者 Maheshwari N

Aug 27, 2017

V

創建者 Yangzhi G

Jul 24, 2017

g

創建者 John C

Apr 30, 2018

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.

創建者 Erik B

Jun 02, 2016

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.

創建者 Ken O

Dec 20, 2017

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.

創建者 Jose G

Aug 21, 2017

The content as dry as it is was well presented. No problems there just be sure to have a good night sleep lest you find nodding in the middle of a module.

The reason for the three starts is a knock on Coursera for not letting me submit my last quiz on the last day of my paid subscription. I finished the content at 10:00 CST but I was not allowed to submit my last quiz. I had to pay for the next course in the certificate to get the completion certificate.

創建者 Jordan R

Mar 09, 2016

A good introductory course but it would have been nice to see a bit more of the math behind the models. I don't think the assessments were worth upgrading to the paid version of the course though. They were basically memorization and regurgitation directly from the lecture videos with very little, if any, thinking required. A bit disappointing from an institution like Wharton.

創建者 YUTING W

Apr 03, 2016

The lecture is clear, but it's a fundamental lesson which could not learn many things, just theories. Furthermore, I suggest that there should be solution hints for Quiz, because students will be frustrated by not knowing the answers and not knowing how to fix them. In addition, the discussion broad is a little bit cold and lack of mentors to help students.

創建者 roshni r

Oct 27, 2017

The course was helpful to understand key statistical concepts but I hope it would have been worked on a little bit more to make it less boring. I do understand it's rather difficult to make quantitative courses interesting but this is just my feedback to the makers of the course so they can take it into account as and if they desire.