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

4.6
stars
9,149 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

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.

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.

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1576 - 1600 of 1,683 Reviews for Share Data Through the Art of Visualization

By mohammad

•

Sep 9, 2021

too long and a little boring

By Hiu Y C

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Jun 20, 2021

Contents are too general

By Christine . M

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Aug 3, 2023

Good beginner course.

By Minh T

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Dec 6, 2022

I want more Practice!

By Daniel

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Jul 21, 2021

Too many explanation.

By Youssef S

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Jan 14, 2022

It is very important

By Sanderson E V

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May 6, 2022

I miss tableau

By Joseph O

•

Nov 25, 2021

Awesome course

By Gyalbusherpa

•

Nov 21, 2021

Nice course

By Carlos E C

•

Jun 12, 2024

very basic

By Arti S

•

Feb 25, 2022

it is good

By Suleiman H

•

Dec 2, 2023

very good

By TNK

•

Jan 23, 2024

reliable

By samia f

•

Dec 28, 2022

not bad

By Aniruddha V

•

Aug 24, 2024

Good!!

By Ameer S

•

Aug 21, 2024

good

By jyoti p

•

Oct 29, 2021

good

By Hema 5

•

Mar 13, 2023

ntg

By Paco L M

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Nov 29, 2021

I'm not impressed with the course nor the certificate program at this point. The quizzes test your recall of terminology but not your mastery of the topics underlying the terms. There's no opportunity for you to demonstrate what you learn with respect to visualizations and the whole community feels disconnected and aloof. Lots of the forum posts are people phoning in discussion prompts and that's not really their fault; the course phones it in as well. The content is shallow and doesn't foster mastery through practice, repetition, or demonstration. You can click "complete material" all the way through the course, guess the answers to the challenges, and get a Google certification in a week. Don't make the mistake of thinking this makes you as good as a Googler data analyst though; this course as taken is blatantly in its beta-testing phase.

It would be great if we had graded submissions where we could make our own visualizations, presentations, and show our mastery of data analytics so far. However that would require the Google Career Certificates team to have a team of competent and dedicated proctors and they seem to only have the budget for a couple forum post answerers. They don't have enough people to manage their course or student community.

The video lectures have odd pacing and some seem edited for brevity or to support a specific narrative. Lots of the practical video lessons are "monkey-see, monkey-do" video tutorials where the instructor demonstrates their expertise and directs the student to follow along. At the end of the lesson, the instructor claims "now you know how to do X just as well as me." As if copying them once gives you the same level of mastery.

It's not all bad, though. Lots of the principles here give you solid foundations on how to be a quality data analyst. The topics covered here are an excellent jumping off point for independent study and (ironically) googling the terminology used in the course, taking notes, and incorporating it into your knowledge base makes for just as good an education as the Coursera course.

Overall, this is a passable course with the potential to be great, but just isn't worth the money I'm putting into it. Since the course is newly created, I feel as though Google is testing the course using the first batches of students. That's a jerk move since I'm getting a bad education in order for future students to pay the same amount and get a better one. It seems like a software strategy for iterative development / sprints / what-have-you. Speaking as a data analyst - this course won't make you a good one. It'll just about give you the bare minimum, but to have a good shot at employment you'd better use this as supplementary learning, buy a book, and do plenty of independent study.

By Anna W

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Feb 5, 2023

I have mixed feelings about this course. My main problem with it is that it just didn't fulfil it's assumed goal, which is to teach visualizations. There are very few Tableau tutorials in the course, and the ones that are there are more like UI overview (incidentally, the UI has changed a lot with regards to some important elements like joins). The tutorials are extremely guided. All in all, this part of the course really failed to live up to the expectations. You won't learn Tableau - and you won't learn data visualization.

I also didn't really like the personality of the presenter, sorry! But it is an important factor for the enjoyability of an online course.

On the other hand, the course had unexpectedly good material about presentation skills and building a strong presentation. For the first time in six courses, I found myself downloading actual videos for further reference, and I can easily picture myself going back to these materials when preparing presentations for my future work.

By Donna O

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Dec 21, 2022

Tableau is good tool for Data Analyst. After taking this course I think it ought to be given after the CAPSTONE. There is too much to learn here and having taken it , it leaves me fearful that I have done some data dumping of all that I learned previously which is probably more relevant to the CAPSTONE than this. R is right after this another useful tool for DA but is it necessary to have it right before the CAPSTONE adding to more data dumping of the previous 6 modules completed. If and when I do get to the CAPSTONE and these 2 modules are not in the capstone I am going to be deeply upset . My recommendation is to you are: 1 - have Tableau and R modules after the CAPSTONE. 2- create a separate CAPSTONE to cover them 3 - issue a CAPSTONE for modules 1-5/6 followed by Tableau and R modules. Just saying, right now Tableau and R is consuming too much of the real estate in my brain and I know I have already dumped modules 1-5/6. Please consider my recommendations.

By Jennifer F

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Feb 16, 2023

This course could've been better by more guided explorations of Tableau instead of constantly repeating the same theory about presentations repeatedly. The week 4 test questions were unnecessarily misleading too. This Google certificate has been great so far, and it has made me feel prepared, but this section left me with more questions than answers about Tableau. I feel I did not learn anything about the platform. Not to mention most of the things the "teach" you how to do was suing the paid version of Tableau instead of the more accesible one. Yes, there is 14-day trial, but maybe I don't want to waste that trial for this course? What if it takes me longer than 14 days to complete it? See what I mean?

By Mateo S S

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Jul 26, 2022

The course starts really great, with awesome and very interesting principles you should use for data visualization. The instructor is very passionate and enthusiastic (although you can tell all of them just read) and there are great resources provided. Nevertheless, when you start learning about tableau, the content is very, very basic, and for most of it they just guide you through it, without a real challenge. You can technically practice on your own, and that is always recomended, but this professional certificate promises "in-demand skills that will have you job-ready". I don't think my knowledge of Tableau is "job-ready" at all.

By Chris d

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Dec 26, 2021

There is far too little focus on actually creating visualizations. Too much time is taken up with best practices for presenting, which is wasted on a class where there are no live presentations. I'll keep my notes as reference, but it would be a lot more useful to have ended the class with a decent portfolio of Tableau visualizations. Some of the quiz questions also need to be rewritten -- many of them are either ambiguous or phrased so narrowly that they feel like trick questions. All in all, it's not a bad course, but the emphasis is wrong for the format.

By MOHAMED S H M

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Apr 28, 2023

This course is amazing theoretically in regard to how to present the data, BUT it doesn't teach Tableau sufficiently enough or rather not at all. I wish instead of all the talking about presentation tips, they could invest more time on Tableau by making more hands on projects or explaining more about it. And the "dashboard" project was on the application desktop version of the app, which I didn't like. There was ambiguity in it.

That course was my least favored one. I'll have to do a lot of stuff related to visualizations on my own.