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Learner Reviews & Feedback for Fundamentals of Quantitative Modeling by University of Pennsylvania

4.6
stars
9,266 ratings

About the Course

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....

Top reviews

NM

Jul 22, 2017

Very good background to quantitative modelling. It gets a bit heavy on the mathematical formulas in places, but if you follow through, it helps cement understanding. Good speed/pace of material.

SB

Apr 9, 2020

Amazing learning, easy to follow descriptive examples, enough detailed content and examples to go in depth in the subjects. I really appreciate how well put together this program is. Thank you!

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1551 - 1575 of 1,737 Reviews for Fundamentals of Quantitative Modeling

By 樊荣

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May 4, 2019

Too elementary

By Sphelele

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Mar 10, 2019

a great course

By Charles b

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Jul 11, 2016

GREAT MATERIAL

By Nisheeth N

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Dec 25, 2019

Great Course!

By Sajjad H S

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Jun 24, 2020

Good course.

By Divyam A

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Apr 12, 2020

Basic Course

By Hongbo Q

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Jul 12, 2018

有一点简单，很基础的课程

By Shivani J

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Dec 4, 2016

great course

By nicholas m

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Oct 11, 2016

Great course

By Deleted A

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May 28, 2019

really good

By Alex B

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May 25, 2016

Good review

By Narek

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Mar 20, 2016

Good course

By Daniel P d R E

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Jul 16, 2020

Too simple

By Quantum P

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Nov 3, 2019

Too simple

By Sagar A

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Apr 26, 2018

too simple

By Ishan A

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Sep 11, 2018

excellent

By Wenwen B

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Apr 28, 2020

Not bad

By Luis E H A

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Mar 9, 2017

Great

By Sylvia S

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Sep 18, 2020

good

By Shrenik V Z

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Jan 8, 2018

Good

By Nikita R

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Oct 29, 2021

NA

By pravar n

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Jul 18, 2022

.

By mahee r

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Aug 27, 2017

V

By Lindaa g

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Jul 24, 2017

g

By John C

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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.