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

4.4
звезд
Оценки: 507
Рецензии: 89

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

VP
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!

AN
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.

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1–25 из 91 отзывов о курсе Compare Stock Returns with Google Sheets

автор: Amirhossein f

31 мая 2020 г.

This was such an easy and basic guided project. The instructor needs to explain some background on the topic, why do we even need to calculate these ratios and how they can help us in getting a sense of the stock movements. It would be probably helpful for people with 0 knowledge in stocks and those who have not even heard of the stocks in their lives before.

автор: Kaiyue S

17 янв. 2021 г.

It's not bad...

But I dont think there is anything that is really useful or worth the money I paid for it...

It only took me 30 min to finish it and there is nothing hard......

You can learn this for free in 10 mins on youtube.... Srsly!!

автор: Sai S R

12 авг. 2020 г.

Didn't mention why we used sharpe and sortino ratios

автор: Ricardo W E

6 июня 2020 г.

The videos are very very low quality!!!

автор: Sanjay P

6 авг. 2020 г.

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.

автор: Viju K

20 мая 2020 г.

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.

автор: Santiago R R

3 нояб. 2020 г.

Amazing intro to Google Sheets/Excel. I took this after doing the Investment Management Specialization from UGeneva, and I wish I took it earlier because it really would have helped me with the Excel work.

Really recommend it to anyone.

автор: Anthony S B

5 авг. 2020 г.

A great project for starters who wants to use Google Sheets to analyze stock returns based on Sharpe and Sortino ratios. Instructor Bekhruzbek Ochilov allows hands-on practice before moving on in his lecture.

автор: Oscar F

25 июня 2021 г.

Muy bueno para familiarizarse con la construcción de los Ratios de Sharpe y Sortino. Es necesario complementar con información externa sobre la tasa libre de riesgo. Bastante práctico el curso. Recomendado.

автор: Camila d O M

23 авг. 2020 г.

The instructor explained a complex subject in a very simple and objective way, with real examples and the possibility to apply in others studies (taking the Sheets used for the course as model).

автор: Venkatesh P

25 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!

автор: Abhinav N

15 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.

автор: Rathinaprabhu G

10 авг. 2020 г.

It was an wonderful experience and the only problem is with the desktop provided and I hope coursera will take care of it in future

автор: Shradheya K

31 июля 2020 г.

This Course is good for Beginners and it really helps in kick starting your interest in Finance and Quantitative Analysis .

автор: Nihar S

10 мая 2020 г.

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

автор: ARANYA A I 2 B

15 авг. 2020 г.

Basic concepts explained very simply with the help of Excel. Would recommend for anyone interested in finance!

автор: DARSHAN C

14 окт. 2020 г.

Very interesting course for beginners who wants the carreer in finance and investment field

автор: Roberto T V A

30 июня 2020 г.

It was easy to learning and understanding the basic concepts about compare stock returns

автор: Tom S

4 дек. 2020 г.

Great course, the instructor is very clear and does not rush with explanations.

автор: Ritik K

8 июля 2020 г.

A Good Course to learn how to calculate Sharpe and Sortino Ratio using Excel.

автор: Rajvardhan S K

26 июля 2020 г.

This is my first time using the Rhyme software. I was a great experience.

автор: satheeshkumar r

1 авг. 2020 г.

Good to Know about the Methods and Techniques behind the Stock Markets.

автор: VENKATESH

27 мая 2020 г.

Very good course with opportunity to learn the stock analysis basics

автор: Gonzalo P P

16 янв. 2021 г.

A nice on hands project in the financial and market risk basics.

автор: VINAYAK M

18 июля 2020 г.

Compare Stock Returns with Google Sheets

Amazing Course , Nice