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Вернуться к Compare Stock Returns with Google Sheets

Отзывы учащихся о курсе Compare Stock Returns with Google Sheets от партнера Coursera Project Network

Оценки: 564

О курсе

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....

Лучшие рецензии


24 июля 2020 г.

It is a simple and easy course to understand and compare stock returns based on Sharpe and Sortino ratios. Very helpful for someone trying to understand the basics of stocks!


14 июля 2020 г.

Amazing instructor and the teaching is done without any assumptions of the student having prior knowledge, implying every detail required to understand a topic is covered.

Фильтр по:

51–75 из 101 отзывов о курсе Compare Stock Returns with Google Sheets

автор: Mr. T J P - M

12 июня 2020 г.

Good course

автор: Vandy G 魏

26 авг. 2021 г.

it is good

автор: Madad H

30 мар. 2021 г.


автор: Francis V

1 авг. 2020 г.

Good one..

автор: Imran S

25 июля 2020 г.


автор: Meghana K L

7 дек. 2021 г.


автор: tale p

28 июня 2020 г.



8 июня 2020 г.


автор: RASEL A

23 мая 2020 г.


автор: KUSHAL V G

6 июня 2020 г.


автор: Glenda M G

27 июля 2020 г.

Very informative! Speaker knows his craft but some background experience if this will be helpful for predicting stock profitability would be helpful as well!

I was typing along with the instructor and got confused. I was hoping for him to dictate what short-hand keys he was using.

автор: Nur A

21 мая 2020 г.

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

автор: Reshma D

3 июля 2021 г.

This is very much suitable for beginners. It could also include explanations about Sharpe and Sortino ratio in detail to get the most out of the project. It's real-world application can be explained a bit deeply.

автор: Saptarshi D

24 сент. 2020 г.

Could've explained more about implication of the ratios in stock performance, was expecting a more in-depth learning experience. But anyway good content.

автор: Erion H

30 апр. 2020 г.

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

автор: Gael B

23 дек. 2022 г.

Good course, but I think it would be better to use log returns instead of returns, in statistics computations.

Thanks to the teacher !

автор: Akshay I

25 июня 2020 г.

More detailed project containing all the main terms explanation could have been better to understand fully.

автор: Mark O

19 июля 2020 г.

Slow paced but good, selective detail. Not sure it's worth CAD$13, should have just asked Google

автор: Nilesh

28 авг. 2020 г.

Very useful and informative tools and can be used in our daily work to analyse stocks

автор: Prasanna N

25 сент. 2020 г.

good for beginners, need more guidance on such analysis techniques.


9 авг. 2020 г.

It is good for someone who wants to just begin with stock analysis.

автор: Rodrigo G D V

4 нояб. 2020 г.

Could have used a little more explanation on the main concepts.

автор: Thành Q N

22 сент. 2021 г.

The instructor's teaching method is kinda hard to understand

автор: Sandip P

10 мая 2020 г.

The server on the virtual desktop is very slow.

автор: Juan D C M

2 дек. 2020 г.

Could have bit more explanation.