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Fundamentals of Quantitative Modeling に戻る

ペンシルベニア大学(University of Pennsylvania) による Fundamentals of Quantitative Modeling の受講者のレビューおよびフィードバック

4.6
7,864件の評価
1,519件のレビュー

コースについて

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....

人気のレビュー

AP

2019年6月15日

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.

S

2020年11月30日

for the beginer like me i have experience in banking of 8 years still for me this fundamentals are new specially quantitative modelling.Kindly provide banking related examples in here too.\n\nthanks

フィルター:

Fundamentals of Quantitative Modeling: 1226 - 1250 / 1,497 レビュー

by Arpan A

2019年6月9日

It is very basic module without any insight into the mathematical details of the topic

by Urooj K

2020年5月20日

Good introduction, in my opinion it needed a little more in depth statistics and math

by Vaibhav M

2019年12月7日

Would have been better if they had shown the process to plot all the graphs on excel

by Sankar U

2020年7月15日

Loved the course. Wished there were some practical examples/assignments to work out.

by Ayush B

2020年6月7日

This course does a good job of providing a good insight into the modelling thinking.

by 纪鹏

2016年3月28日

Entry-level of Quantitative models development skills, good for a new comer like me.

by Alfonso F D

2017年7月29日

Very good course, I would just be expecting a bit more of practical Excel content.

by Brandon N

2018年3月16日

I enjoyed the class. However, I would have liked it to be a bit more challenging.

by Francisco S d T

2017年7月13日

Very useful to acknowledge basic concepts on probability and regression analysis.

by Victor

2020年6月13日

too academical & boring. Check how HBS online is doing Business Analytics course

by Jinyu D

2017年1月12日

The course is overall great. Maybe a little simple for a STAT major. Thank you!

by Hans H

2021年1月2日

the only thing that should be explained a bit more is the logarithmic functions

by Nikilesh K

2020年12月10日

Great pacing, but would have liked to see exercises involving excel sheet work.

by Rao S

2020年6月8日

It is a must-do course for analyst, it like embarking on an investment journey.

by Ankith

2020年4月16日

Each concept explained in a very easy way with very apt examples to understand.

by Max B

2017年10月14日

Great intro for someone start from scratch wanting to learn business modeling!

by Afzal H

2020年7月17日

I feel the course can be made more challenging by incorporating a project.

by CHANDAN K J

2020年7月2日

Got some new knowledge from experience sir and thank you for scholarship.

by Faraz I

2020年6月29日

Wonderful! Gives a really good of what quantitative modelling really is.

by Harsh R

2018年8月6日

Please involve more of the mathematics behind it. Great for an overview.

by Mohammed A K

2016年11月7日

videos are very informative

English is very simple and easy to understand

by Ashwani K

2018年10月7日

it was basic but has a very lucid way of making things understand to us

by Arnot B

2018年4月18日

Good and comprehensible grounding in the basics of models and their use

by Subodh R

2019年11月7日

This is a really good introductory course for quantitative modelling.

by abaluodufa

2019年1月21日

Mostly theoretical though he does a good job explaining key concepts.