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Learner Reviews & Feedback for Share Data Through the Art of Visualization by Google

4.6
stars
8,430 ratings

About the Course

This is the sixth course in the Google Data Analytics Certificate. You’ll learn how to visualize and present your data findings as you complete the data analysis process. This course will show you how data visualizations, such as visual dashboards, can help bring your data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for your presentations. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Understand the importance of data visualization. - Learn how to form a compelling narrative through data stories. - Gain an understanding of how to use Tableau to create dashboards and dashboard filters. - Discover how to use Tableau to create effective visualizations. - Explore the principles and practices involved with effective presentations. - Learn how to consider potential limitations associated with the data in your presentations. - Understand how to apply best practices to a Q&A with your audience....

Top reviews

AV

Nov 25, 2021

A comprehensive course with various techniques of visualizations and presentation. It introduced me to the world of Tableau, and its possibilities to prepare interactive visualizations and dashboards.

CH

Dec 11, 2021

This course taught me a lot about data visualisations, dashboarding and presenting to an audience in an extremely insightful way. I was well presented and well worth the time and effort I put into it.

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1326 - 1350 of 1,570 Reviews for Share Data Through the Art of Visualization

By Wassim R

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Oct 23, 2023

thanks

By Kiren K

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Oct 29, 2022

Good

By David M

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Aug 20, 2022

solid

By Jestyn S

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Mar 3, 2022

great

By awanish s

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Feb 15, 2022

GREAT

By shashank k

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Dec 12, 2021

great

By vamsidhar

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Jan 23, 2024

good

By Ayushi B

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Dec 20, 2023

Good

By Mester S

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Oct 7, 2023

good

By Kanishak G

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Sep 25, 2023

nice

By Gabriel S

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Aug 26, 2023

good

By Sulley S

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Jun 27, 2023

good

By abdulaziz a

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May 15, 2023

good

By Sreenu S s

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Nov 12, 2022

good

By Dennis P

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Jul 13, 2022

nice

By Giacomo P

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Jan 9, 2022

top

By Ahmed E

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Jan 2, 2022

good

By Ajinkya M

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Dec 26, 2021

good

By mayur c

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Oct 29, 2021

good

By Pasa T

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Jun 20, 2021

cool

By Anupama R

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May 27, 2021

good

By Deleted A

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Sep 9, 2022

na

By Juney C J Y

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Jul 17, 2021

By Kurtis D M

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Jan 29, 2023

I found this to be the least useful course in the sequence. Much of the information was fairly good, but it was explained in ways that were not as helpful. For example, throughout the course videos would talk about "making a presentation" and it wouldn't be clear whether they were referring to the presentation or to a slideshow that might be used in a presentation. Obviously, while these are related, they aren't the same thing.

Some of the principles of slide design taught in the course differ from those supported by current research on visual communication, and appear to reflect the common practice and community expectations at Google and in the tech industry overall, rather than research-supported best practices. Likewise, some of the questions used in tests and quizzes in the course included some really elementary misunderstandings of color theory. I'll refrain from providing specific examples here so that I'm not disclosing course content, but it is a major credibility problem. Fortunately, I didn't take this course to learn about color theory.

By Sergey M

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Aug 31, 2021

The worst out of all so far. Love the series of courses, thank you Google for creating it, but data visualization course is poorly designed in my opinion. Too much effort is made on linguistics instead of substance and by that I mean not effective communication techniques, but learning the preferred terms to call certain things. Certain quizes will literally give me synonyms for words meaning the same thing, but only one is correct. How does that make me a better visual designer in data analysis?

Also, maybe I am bias because I really do not like Tableau and I do not understand why after learning SQL we go straight into the software that is designed to use visual queries instead of SQL so that people who don't know SQL will have easier time using it... Redash and Metabase might be tricky to deploy, but at least with them you use actual SQL to build visualizations, not GUI.