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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
6,283 個評分
1,253 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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1176 - Fundamentals of Quantitative Modeling 的 1200 個評論(共 1,225 個)

創建者 TheSovereignIndividual

Apr 13, 2020

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

創建者 Olivia X

Sep 18, 2016

too easy. not enough practical skills or tools teaching

創建者 Abhishek P

Feb 09, 2017

There should be lab or hands one calculation exercise.

創建者 Steeve V

Feb 03, 2017

It was theoretical but provided an apt understanding.

創建者 Roma

Mar 31, 2018

Questions with actual raw data would be helpful.

創建者 Craig K

May 06, 2017

More reading about theory than actual doing.

創建者 Daguo X

Apr 19, 2017

Too fundamental, too easy. No depth in math

創建者 Ardavan S

Apr 12, 2020

I already knew most of the topics taught.

創建者 RADHIKA

Apr 08, 2020

Could have added more about monte carlo

創建者 Watabe

Mar 06, 2016

please improve hand-out for self study.

創建者 Lokesh M

Jul 13, 2020

Good and nice Analysis of each model

創建者 Jeff K

Mar 12, 2016

A little too basic, but still good.

創建者 Zhao y

Jun 22, 2017

Review of simple high school math

創建者 Mike B

Dec 14, 2016

Way, way too basic and hand wavy.

創建者 Handong D B

Jul 26, 2016

the lecturer is kind of boring

創建者 Krishna M R

Dec 30, 2017

This course is for beginners

創建者 Syed M H A

Jan 17, 2018

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創建者 Shraman G

Oct 13, 2016

Basic but informative

創建者 Apurva D

Aug 10, 2017

Good but too easy

創建者 weihaochai

Jul 29, 2018

too simple

創建者 Ng C

Dec 16, 2017

very basic

創建者 Marta

Mar 19, 2017

The student needed to have a good foundation of statistics and high levels of math to be able to follow the class. I have not taken statistics or trigonometry in many years so I struggled. I would have benefited greatly if there were more examples of how to calculate the models, including the calculations part of it. The professor did not do that and that got me wondering (not knowing) how to calculate the formulas. I think if I had seen a few examples, it would have been enough to understand and keep up.

So, more step-by-step instructions on the mechanics of formulas, would be my biggest recommendation.

But the professor did a superb job explaining the concepts, and showcasing some industry applications of the models.

Thank you for asking.

創建者 Rubén M F

Feb 27, 2016

Great explanations provided by Prof. Waterman, however for the price of this course (in my view quite expensive) the materials available are quite poor (e.g. the formulas shown in the pdf slides are a mess, not a mathematical summary, etc), and the level of the quizzes is very basic. I would have expected much more from a course coming from Whaton.

創建者 Saman K

Mar 03, 2016

I liked the course because of its format and material. Basically it was comprehensive.

I did not like the presentation and lack of practical examples. I had to force myself to concentrate at times and search other sources for more detailed insight.