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學生對 Coursera Project Network 提供的 Compare Stock Returns with Google Sheets 的評價和反饋

4.4
63 個評分
7 條評論

課程概述

In this 1-hour long project-based course, you will learn how to compare the performance of different securities using financial statistics (normal distributions) and the Google Sheets toolkit to decide which one performed the best in terms of risk-to-return (risk-to-reward) metrics. This will teach you how basic risk management using quantitative analysis is done and is applied in calculating mean returns of the stock, variance, standard deviation, the Sharpe ratio, and Sortino Ratio. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions. This course's content is not intended to be investment advice and does not constitute an offer to perform any operations in the regulated or unregulated financial market....
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1 - Compare Stock Returns with Google Sheets 的 8 個評論(共 8 個)

創建者 Viju K

May 20, 2020

This course is a simple one and you have to do it yourself to understand it. It will use your Google Sheets skills to a new level, even if you are mechanically following the instructor. Don't be put off by the accent, he is as good as it gets.

創建者 Nihar S

May 10, 2020

Foundation project for Risk and Portfolio Management, also try Markowitz project on Coursera if you want to grow.

創建者 VENKATESH

May 27, 2020

Very good course with opportunity to learn the stock analysis basics

創建者 Bekhruzbek O

May 05, 2020

Great course

創建者 Rasel A

May 23, 2020

Good

創建者 Nur A

May 21, 2020

Its good, but seems like the instructor new with GSheet. Need more on explaining the underlying meaning of the numbers, e.g. why Sortio value 0.30 is better than 0.10. Other than that it is good for beginners to compare the stock performance

創建者 Erion H

Apr 30, 2020

This is great and thank you very much. I am so eager to learn more about comparing stock and returns, and portfolio & risk management.

創建者 Sandip P

May 10, 2020

The server on the virtual desktop is very slow.