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

4.8
stars
17,033 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.

VC

Nov 8, 2021

Probably one of the more technical courses of the program developing your technical skill set and actually preparing you to become a data analyst by introducing more hands-on Excel and SQL exercises.

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2601 - 2625 of 2,908 Reviews for Process Data from Dirty to Clean

By Brian B

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Jun 11, 2021

A very challenging module with extra technical terminology to get familiar with.

By Loong L

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Jun 23, 2022

Great, is not just for analysis data but also to improve the spreadsheet skill.

By Kuru J

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Dec 23, 2022

Awesome Course. Was interesting and gained so much insights on Data Cleaning.

By sghairi M

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Dec 9, 2021

I finishid this course since two weeks but I did not get my certificate. Why?

By Abdelrahman M

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Dec 19, 2021

The part for writing resume is good but it does not belong to data analytics

By Cassandra R

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May 2, 2023

A lot of good, hands-on, opportunities to practice with spreadsheets & SQL.

By Le K N

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Oct 19, 2024

I like how they allow to work with SQL on BigQuery, very useful experience

By Leigh P

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Sep 30, 2022

Overall it was good but alot of the quiz questions were much too ambigous

By Lily T

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Jul 27, 2021

I really like the way Sally made the class interactive and fun throughout.

By Shirley C

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Jan 24, 2022

Very good class, I would suggest more hands on practice for SQL queries.

By jacob i

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Nov 12, 2022

Great course! Found a lot of useful Excel functions I use at work today.

By Mahmoud e

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Jun 9, 2022

I like so much the instructor , sally was amaxing person to do this job.

By Daniel K

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Apr 3, 2022

I'll be honest, it could get a little boring, but that just might be me.

By Daniel R

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Nov 1, 2021

great examples and into to more than just beginner SQL; a bit fast tho

By Kevin P

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Jun 15, 2023

I am a tactile learner, please add more hands-on or interactive items

By Jaymes B

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Mar 3, 2023

Feel like I learned a lot about SQL syntax without being overwhelmed

By Benjamin S

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Oct 18, 2022

Interesting but more hands-on activities would have been appreciated

By Naiem W

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Jul 18, 2024

Overall it was good, though I occasionally had issues with BigQuery.

By Miguel V

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Apr 22, 2023

It is a nice touch to tackle the necessities to build a good Resume.

By Filip M

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Mar 27, 2023

I wish I can use functions like UPDATE, but I do not have free trial

By Joshua A

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Nov 20, 2021

another delightful module in the Google Data Analytics course......

By Afra Z

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Sep 17, 2021

Easy to follow. Great for beginners with no data science background

By Mostafa A E

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May 14, 2023

very good but we need practical training with examples to practice

By Sylvia A

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Apr 2, 2022

The course was really a great course. Sally is such a great tutor.

By Dhriti B

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Aug 11, 2023

Really good course. Having very good view on data cleaning tools.