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

4.6
stars
8,721 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

AP

Jun 15, 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 30, 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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526 - 550 of 1,656 Reviews for Fundamentals of Quantitative Modeling

By hossein s

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Aug 3, 2022

very nice course! useful and handy. i liked it a lot and i suggest it to other.

By Nhan T

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Feb 25, 2022

Would love to see an explanation to the quiz problems after we've completed it.

By Mariano C

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Sep 6, 2021

Great! it'd be helpful to have the answer procedure when we finish the quizzes!

By Rohit

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Jun 28, 2020

EXCELLENT COURSE AND TAUGHT IN A MOST PROFESSIONAL. THOROUGHLY ENJOYED LEARNING

By Jim S

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Nov 15, 2018

Incredibly clear and easy to follow, for what can be a daunting topic for most.

By Jiajie S

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Nov 8, 2018

Clear explanations and helped me reviewed basic stats models and distributions.

By Allan A

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Apr 22, 2022

Excellent course, very articulate and clear speaker, withi instructive slides.

By Dadisai M

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Feb 15, 2022

Great course, very informative, clear and consice. Would definitely recommend.

By Magnolia X

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Dec 30, 2020

Clear context and great starting point to understand the concepts in modeling.

By Kristoporus A B

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Jun 12, 2020

This is good course to learn and understand about basic quantitative modeling.

By Jason K

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Dec 6, 2019

Excellent course, learned a lot. Great instructor with clear lecturing style.

By Mayur D

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Aug 27, 2019

Excellent teaching. So simple yet effective examples and application oriented.

By Sebastian S G

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Mar 11, 2019

Very interesting and easy way to get an introduction into quantitative models.

By Artak

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Dec 17, 2016

Very interesting and understandable. Great investment of my time. Many thanks.

By Mehul D

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Sep 4, 2016

amazing professor and examples that made a very difficult topic comprehensible

By Johncalvine E

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Jun 18, 2022

really helpful for me to understanding the theories of quantitative modeling.

By Ayush C

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May 20, 2020

The Course gave an insight on the fundamentals, with easy to relate examples.

By Saraphine P

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Aug 18, 2017

Nice refresher of statistics learned in college. Covered all the main points.

By Paraash M

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Jan 25, 2023

Very concise, clear, and well paced! Amazing course, and very inspirational!

By Alexander T

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Apr 10, 2020

Very convenient and understandable narration by the professor! A good course

By Humberto L C

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Feb 17, 2020

Excellent course!

It is very well explained, and the content is very helpful.

By Claudio B

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Sep 5, 2019

Clearly explained, with the right emphasis and a great time listening to it!

By NIDHI M

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Aug 16, 2019

THE SUBJECT WERE EXPLAINED VERY CLEARLY. AND HENCE IT WAS EASY TO UNDERSTAND

By David v D

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Feb 8, 2019

Good fundamental course in modeling, very clear explanations by the lecturer

By Emmanuel O B

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Sep 7, 2017

A big thank you to Professor Waterman and the Coursera team. Well done guys!