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返回到 Fundamentals of Quantitative Modeling

学生对 University of Pennsylvania 提供的 Fundamentals of Quantitative Modeling 的评价和反馈

4.6
9,311 个评分

课程概述

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....

热门审阅

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.

AK

Apr 8, 2020

I always used to wonder what Regression means and why the term was being thrown around casually. Now I know what are its underpinnings and what it is used for. Thank you Professor Waterman.

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576 - Fundamentals of Quantitative Modeling 的 600 个评论(共 1,739 个)

创建者 Alexander T

Apr 10, 2020

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

创建者 Humberto L C

Feb 17, 2020

Excellent course!

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

创建者 Claudio B

Sep 5, 2019

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

创建者 NIDHI M

Aug 15, 2019

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

创建者 David v D

Feb 8, 2019

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

创建者 Emmanuel O B

Sep 7, 2017

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

创建者 Lin W

Jun 13, 2017

Really helpful course that offers solid detail about these useful functions.

创建者 Mariam G

Jun 1, 2020

A nice course, really useful. I liked the materials and the way of thought.

创建者 Olivia E

May 13, 2020

Excellent course. Really clear explanations & quizzes helped with learning.

创建者 Akshat B

Jan 2, 2020

Very helpful!! It was detailed and accurately sequenced. Highly Recommended

创建者 G S y

Dec 29, 2019

thank you....it really helped me to learn more about quantitative modeling.

创建者 Aakriti R

May 30, 2023

Great work by the mentor. Explained everything very clearly with examples.

创建者 Shrey O

Jun 4, 2020

Excellent Course. Must do for any aspiring business/finance professionals.

创建者 Arshish K

Jan 19, 2020

Essential fundamentals of modelling, taught simply and quite exhaustively.

创建者 Javier A

Nov 29, 2019

Clear, concise and easy to understand. Well designed for internet learning

创建者 Ivan C

Aug 21, 2018

Great basic terms to further develop. Great starting point for CFA Level 2

创建者 Pedro A R M

Sep 27, 2017

It´s perfect when you´re finding to grow up at bussiness worth. So useful.

创建者 Juhi M

Aug 19, 2017

It is a great course to get hands on experience different types of models.

创建者 Jonathan H

Oct 13, 2023

Good course with effective mix of summary- and detailed- level discussion

创建者 #MARK C R

Jan 28, 2022

Great intro to statistical modelling, look forward to rest of the course!

创建者 Ardian F

May 3, 2020

Good theory explanation with relatable example with industry or business.

创建者 Orlando D

Sep 30, 2019

Great, clear and easy to understand modules for every background students

创建者 John C

Feb 8, 2018

Very good. Covers the basics thoroughly and in easily digestible lessons.

创建者 Ribeiro D

Dec 12, 2017

Really good course. Each module is well explained with concrete examples.

创建者 Manuel

Jun 11, 2017

Excellent and concise introduction to various functions useful in models.