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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
313 個評分
53 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....

熱門審閱

VP

Jul 25, 2020

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!

AN

Jul 15, 2020

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.

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26 - Compare Stock Returns with Google Sheets 的 50 個評論(共 55 個)

創建者 Francis V

Aug 01, 2020

Good one..

創建者 Imran S

Jul 25, 2020

Awsome

創建者 tale p

Jun 28, 2020

good

創建者 KARUNANIDHI D

Jun 08, 2020

good

創建者 Rasel A

May 23, 2020

Good

創建者 KUSHAL V G

Jun 06, 2020

.

創建者 Glenda M G

Jul 27, 2020

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.

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 Akshay V I

Jun 25, 2020

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

創建者 Mark O

Jul 19, 2020

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

創建者 SIDDHANT S

Aug 09, 2020

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

創建者 Sandip P

May 10, 2020

The server on the virtual desktop is very slow.

創建者 Dobe S N

Jun 02, 2020

Very nice course for beginners

創建者 Hasan T R

Jul 28, 2020

Good for beginners .

創建者 Ankit S

Jun 15, 2020

Very nice trai

創建者 Kumar H

Jun 15, 2020

just right

創建者 SHEETAL R

Jun 01, 2020

Good

創建者 Vishesh A

Jun 22, 2020

The project is extremely basic. The instructor's accent is a bit hard to understand but you'll get used to it in a while. It'll hardly take 30 minutes to 1 hour for completing the project. The cloud desktop will misbehave a bit and is slow to react. Login using your Google account, and open the Google Sheet in your personal device instead of using the cloud interface if you want a smooth experience.

創建者 Alex T

Aug 02, 2020

The instructor was very hard to understand, and the content was not explained thoroughly. The ideas presented were interesting though!

創建者 Sujeet K S

May 31, 2020

Project explanation was quite good but was expecting more content and bit more explanation about free risk return and its calculation.

創建者 Akshat T

Jul 29, 2020

can be more informative and detailed and also have more access options

創建者 Naman D

Aug 03, 2020

Too short but other than that, the learning curvature was great.

創建者 Avinash S

Jun 04, 2020

There is very basic things not much to learn.

創建者 YASH H J

Aug 08, 2020

Too easy project! Nothing much learned