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Learner Reviews & Feedback for Prepare Data for Exploration by Google

4.8
stars
21,165 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

DD

Jul 4, 2021

Thank you for the course! It's a nice introduction to SQL and Google Big Query as well as the concepts of data privacy and security. The course also offers some great tips for professional networking.

RA

Aug 10, 2022

The lessons were easy to follow through and the explanantions were easy to understand. The hands-on practices also helped improve hands-on skills with the data analysis tools introduced in this course

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1151 - 1175 of 3,313 Reviews for Prepare Data for Exploration

By Eliezer S

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Jun 14, 2022

Muito útil, e bem dinâmico. Uma temática bem equilibrada.

By mohammadamin a

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Feb 18, 2022

The tutor was perfect she explained very well everything

By Ng K

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Jul 28, 2021

Great course into understaning data analytics foundation.

By VIBIDESH T

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Jul 18, 2021

It gives a clear picture of how a data should be prepared

By GERARDO A P

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Sep 10, 2023

Fue un curso bastante rico en temas, videos y prácticas.

By mostafa e

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Aug 30, 2023

it was very useful, and instructor is amazing, thank you

By Callie W F

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Jul 1, 2023

Excellent material. Though I expected more stuff in SQL!

By Esther L

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May 24, 2023

Though technical but thanks be to God for the completion

By Balogun O

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Feb 12, 2023

Great course and impacful.. really love, thanks coursera

By ouaffai m

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Dec 27, 2022

i learned more and new things , thanks for nice courses

By Mr. A K

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Dec 22, 2022

this course is very helpful for me in data exploration

By ifeoma o

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Aug 13, 2022

was very interactive, looking forward to the next course

By Shreif A E

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Sep 1, 2021

the instructor is so cool and makes me kinda of optimist

By Success Q

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Sep 3, 2024

Tough, but packed full of helpful info. Learned a lot!!

By Lucas A

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Aug 10, 2024

Excelente!!! 100% didactico, profesional, para todos!!!

By Tabita P

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Nov 19, 2023

Thank you so much. Let's go environmental data analyst!

By Innocent G

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Aug 7, 2023

the course enlighten my knowledge about data collection

By ekjot s

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Jul 27, 2023

This course provides me with a great deal of knowledge.

By HARI O

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Dec 19, 2022

Its best way to teach any subject by using simple ways

By Muhammad E D B M S

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Sep 13, 2022

very good explaination on how to used SQL and BigQuery

By BASHIR H

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Mar 23, 2022

it is an amzing course and the instructor was mervolous

By Efa E

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Feb 12, 2022

I really love and enjoyed the course, a lot was exposed

By Lethabo K

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Jan 24, 2022

Excellent delivery of the course. Thank you very much.

By Annisa S

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Jan 24, 2022

What a perfect course! Now, I'm ready to the next part!

By Uche P

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Jan 16, 2022

So much hands on work, I really enjoyed using BigQuery.