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Learner Reviews & Feedback for Process Data from Dirty to Clean by Google

4.8
stars
17,185 ratings

About the Course

This is the fourth course in the Google Data Analytics Certificate. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL, as well as how to verify and report your data cleaning results. 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: - Check for data integrity. - Apply data cleaning techniques using spreadsheets. - Develop basic SQL queries for use on databases. - Use basic SQL functions to clean and transform data. - Verify the results of cleaning data. - Write an effective data cleaning report...

Top reviews

LT

Jul 9, 2023

I'm glad I took this course. The instructor is warm, upbeat and very clear. The materials are very informative and helpful. I gained more understanding of cleaning data as well as built my SQL skills.

KK

Feb 13, 2022

Every concept they explained crystal clearly and thoroughly. I am so happy that I am learning all these courses at free of cost. As soon as I get data analytics job, I will pay the fees without fail.

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2376 - 2400 of 2,927 Reviews for Process Data from Dirty to Clean

By aremo a

Apr 27, 2023

fine

By Sarchika D

Mar 27, 2023

good

By Arnoldy C

Mar 16, 2023

good

By Fitrah S

Mar 14, 2023

cool

By Angger M R

Mar 10, 2023

good

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Mar 7, 2023

good

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Feb 7, 2023

good

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Jan 17, 2023

Good

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Jan 5, 2023

good

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Dec 24, 2022

good

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Dec 9, 2022

Good

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Dec 6, 2022

Good

By Jason T

Nov 24, 2022

good

By Yang Z

Nov 21, 2022

nice

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Nov 17, 2022

good

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Sep 2, 2022

nice

By Justin C

Aug 9, 2022

nice

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Jul 4, 2022

good

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Jun 30, 2022

Nice

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Jun 9, 2022

good

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May 25, 2022

good

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May 11, 2022

good

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Jan 9, 2022

good

By 蔡宏隆

Jan 5, 2022

Good

By Abdul R

Dec 17, 2021

good