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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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1101 - 1125 of 3,187 Reviews for Prepare Data for Exploration

By Cally I

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Jun 27, 2021

Excellent, learned a lot of stuffffsssss. :)

Great.

Thank you

By BASHAR A N

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Apr 2, 2021

Great course loving it and I'm going forward to get it done

By Santiago S

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Jun 9, 2024

So grateful for these courses. Potentially life altering.

By Hamza S

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Apr 6, 2024

So far, the trainer is the best of all the courses I took.

By Sarah S - O

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Mar 25, 2024

Great beginner practice for viewing data in SQL and Sheets

By Alvaro B

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Aug 23, 2023

These courses are my best tool, I hope to finish them all!

By Triple-T P

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May 21, 2023

I am excited that I an gradually going through my courses.

By Ezequiel C

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Jun 26, 2022

Great course, I'm starting to understand what's about data

By Edmond K A

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Apr 29, 2022

I made a couple of step progress in SQL with this course.

By Vinaya K G

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Mar 22, 2022

Data for Exploration is the critical part of Data Analysis

By Ratan K P

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Dec 23, 2021

Data preparation for data analytics given in order manner.

By Gajanan W

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Oct 26, 2021

Simply awesome. Nothing could be better then this program.

By Jennifer B

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Oct 3, 2021

Thank you for a great class, full of valuable information!

By Marco L

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Apr 29, 2021

Excellent course for people with no experience in the role

By Mell L

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Feb 2, 2024

Great insights about how to avoid biases in data analysis

By Kristofer L

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Sep 27, 2023

Very Detailed and Good Module for Learning Data Analytics

By Aborisade O

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Mar 31, 2023

There is so much to learn from this course. Great course.

By Peter.C I

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Mar 14, 2023

It was very interactive and interesting to be part of it.

By Donna D

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Feb 18, 2023

Excellent hands-on opportunities for learning about data!

By Alfredo K A

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Dec 27, 2022

Excelente curso para introducirse en el mundo de la data.

By Michael L

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Nov 4, 2022

Awesome! A lot of good material well laid out. Thank you!

By abdulaziz A

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Jun 27, 2022

today I m happy plus thanks coursra really i find my path

By Eliezer A

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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.