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Learner Reviews & Feedback for Compare Stock Returns with Google Sheets by Rhyme

4.4
stars
60 ratings
6 reviews

About the Course

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 - 8 of 8 Reviews for Compare Stock Returns with Google Sheets

By 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.

By Nihar S

May 10, 2020

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

By VENKATESH

May 27, 2020

Very good course with opportunity to learn the stock analysis basics

By Bekhruzbek O

May 05, 2020

Great course

By Rasel A

May 23, 2020

Good

By 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

By 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.

By Sandip P

May 10, 2020

The server on the virtual desktop is very slow.