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Learner Reviews & Feedback for Prepare Data for Exploration by Google

4.8
stars
21,969 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

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

KG

Mar 31, 2024

What an amazing course for data analyst. This course not only offer technical skills but also soft skills we should have as data analyst. I would like to thank Googlers and Coursera for this course.

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3426 - 3435 of 3,435 Reviews for Prepare Data for Exploration

By Aidan L

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Feb 13, 2024

This course does not teach data analytics (how to add value with data analysis). It teaches tools used in data analytics.

By Nick s

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Aug 8, 2023

not updated, had to find material to fill the gaps for not updated. no support for the google team. poor test quality

By Ashraf S

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Sep 24, 2022

I could't complete my assignment as the dataset is not responding as required bigquery-public-data

By Alexander T

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Apr 11, 2025

Course is over-simplified. Author spent way to much time to create new naming conventions.

By Antione W

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Jan 23, 2023

all information isn't available in bigquery. Makes it hard to do quiz and weekly exam

By Martin S

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Aug 7, 2023

Among the poorest courses and instructors ever encountered.

By Jonathan H

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Aug 22, 2021

Poorly executed, poorly structured, and poorly verified.

By Mirza Q S

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Jan 20, 2025

Not very informative . its boring no practice

By Kemar N

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Oct 6, 2023

Big Query section is very confusing

By Harpreet K

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Dec 2, 2022

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