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Learner Reviews & Feedback for Prepare Data for Exploration by Google

4.8
stars
20,310 ratings

About the Course

This is the third course in the Google Data Analytics Certificate. As you continue to build on your understanding of the topics from the first two courses, you’ll be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives, and how to organize and protect your data. 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: - Find out how analysts decide what data to collect for analysis. - Learn about structured and unstructured data, data types, and data formats. - Discover how to identify different types of bias in data to help ensure data credibility. - Explore how analysts use spreadsheets and SQL within databases and data sets. - Examine open data and the relationship between, and importance of, data ethics and data privacy. - Gain an understanding of how to access databases and extract, filter, and sort the data they contain. - Learn best practices for organizing data and keeping it secure....

Top reviews

MS

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This was probably the most in-depth course yet, it was refreshing and challenging. The videos can be reduced, reading has a much better impact, and Scribe can be utilized in the materials more.

MG

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I love how the course it's not limited to teach about the technical skills of a data analyst professional, but it also helps you discover some soft skills that make you a better human resource.

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By Mohammad S K

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Aug 8, 2024

good

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Mar 27, 2024

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Feb 20, 2024

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Dec 23, 2023

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Mar 19, 2023

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Dec 28, 2021

good

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Oct 18, 2023

4.5

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Dec 25, 2023

NA

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Oct 27, 2021

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Nov 20, 2022

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By stephen e

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Sep 25, 2022

By Anna W

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Jan 10, 2023

By now I can recognize the pattern this course follows: we start with one or two more general questions about data analytics and work in general, then there's one more intense technical module, and one or two easier modules as an outro.

For the technical stuff, so far I think that to really learn SQL or spreadsheet formulas you have to learn elsewhere. This course can only serve as a reference guide. It is actually quite annoying how in some lessons they treat you as if you've never seen a spreadsheet before, and in others, they plunge you into formulas without ever explaining anything.

I also didn't appreciate the silly stuff that sounded like Barbie Career bedtime stories, all the "Data Analysts name folders this way, Data Analysts back up their work". Like, really, literally everyone that works on a computer does those things. I guess this is just stuff meant for high school or college students taking this course, but it's pretty annoying to anyone else ;)

Also, the course challenges have been disappointing so far. I'm downloading the tables, reading the PDFs etc, only to see super basic questions that don't even require me to do anything with the material. Le sigh.

On the other hand, I enjoyed working with BigQuery, even despite the fact that the UI seems to have changed a lot, and many of the datasets referenced are not available anymore. With some troubleshooting, you'll be able to get around those issues. But I do wish that the discussion boards on Coursera were actually functional and helpful, and that the course had an active TA.

So far, I am not sure about the job readiness claim. I am actually starting from zero here and I don't think anyone would hire me as a Data Analyst just because I have the certificate.

All in all, I like parts of this course and found the instructor very nice to listen to.