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Learner Reviews & Feedback for Building Candlestick Charts with Google Sheets by Coursera Project Network

4.4
stars
164 ratings
26 reviews

About the Course

In this 1-hour long project-based course, you will learn how to extract stock price data from public sources, build Japanese candlestick charts and customize them, interpret stock price charts and draw conclusions. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Google Chrome pre-installed. Prerequisites: In order to be successful in this project, you should be familiar with Google Sheets. You are also advised to have some familiarity with the capital markets. 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. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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....

Top reviews

AL
Jul 20, 2020

Great understanding of the topic. Explanation is clear and everything is straight forward. Steps to follow are easily explained

RB
Jul 2, 2020

Thank you for the knowledge you've taught & shared with us! It is essential for our data analysis & projections. More power!

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26 - 27 of 27 Reviews for Building Candlestick Charts with Google Sheets

By Riccardo B

Apr 7, 2020

This is projects is for kids. It does give very little information and new skills.

By RAKESH J

Apr 15, 2020

Could have been comprehensive, with more emphasis on analysis area.