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Learner Reviews & Feedback for Prepare Data for Exploration by Google

4.8
stars
20,859 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

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.

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476 - 500 of 3,250 Reviews for Prepare Data for Exploration

By Darren C

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Apr 20, 2023

Everything in this course was done very well, with little fluff, and the practical activities provided some good introductory usage of SQL.

By Sunil K N

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Oct 17, 2022

Step by step apporach on each topic and detailed written & oral explaination. Makes easy for the learner and very userful in data analysis

By Ahmed R

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May 27, 2022

You are doing great job by the way! I would like to recommend that courses can be instruvted by women and mens not women only. Many thanks!

By Pasan J

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Oct 16, 2021

Good introduction to Excel and SQL. other non technical topics discussed in this course are hard to find anywhere else.. well worth it!!!!!

By Ranvijay K

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Jun 9, 2021

Excellent course loaded with so much insightful information which are required to grow as data analyst. Awesome course, highly recommended.

By Anuradha K

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Jun 4, 2021

The Prepare course was fun to learn. Specially loved the instructor she was simply amazing explaining concepts clearly.

Thank you so much

Anu

By Suwapat A

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May 17, 2021

Such a great course. It would be better to add more specific detail in every video and information for more understanding in real life work

By Alok A

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Feb 9, 2023

A wonderful course to learn and know how data preparation works it is mandatory to learn these skills to become a successful data analyst.

By Paras P

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Apr 27, 2022

Firstly Thank you to provide this opportunity for me . it was great . i have learnt a lot of things from this course .

again thank you sir.

By Joel A

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Jul 21, 2021

un cours trés bénéfique qui est présenté avec des cas réels qui nous aide à comprendre l'analyse des données dans le milieu professionnel.

By Murad Z

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May 19, 2021

The trainer and instructions were great! I appreciate the learning points that I've gained in SQL, Data & MetaData, Kaggle, BiqQuery, etc.

By Mohammed A

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Feb 23, 2024

I recommend this course, I did not expect I get all this knowledge in one course, thanks Coursera and Google for these incredible courses

By Purity L

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Nov 25, 2023

I enjoyed learning with Hailie. She breaks concepts into easy-to-understand points. And generally, Coursera is a great learning platform.

By Katerina

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Oct 14, 2022

All the content that he saw in the course was excellent, as well as the way the instructor explained and the way the material is written.

By Dolores R

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Oct 5, 2021

I am progressing, made it to the half way point. The work gets challenging but not discouraging. The slack community is very supportive.

By Overcomer V

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Apr 26, 2023

Wow, this particular module took my love for this career to a greater level. the instructor is just perfect for her role and very clear.

By Hidayah

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Apr 18, 2023

The course is detailed and excellent for a total beginner. It explains all the technical and theoretical parts in well structured manner

By Malu F

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Nov 3, 2022

Una muy buena forma de practicar lo básico sobre lenguaje SQL, spreadsheets y a analizar problemas concernientes a la limpieza de datos.

By Uday K

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Aug 10, 2022

Course helps me to learn how to structure and oragnise the data to get the meaningful insights for ease of accessing and exploring data.

By Shell T

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May 25, 2022

Thank you for the additional information about setting up a professional network and professional enviorment online it was very helpful.

By SHWETHADRI T

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Feb 6, 2022

contents well developed , flow well organised, effective presentation. Regards to team for all the effort put in to develop the content.

By Mayur R

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May 10, 2021

Awesome course content .Course really covers all the practical skills which are helpful in real world.Great Course . Thank you Googlers.

By Oloko O

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Feb 20, 2024

I really enjoyed this course and I love the way it was delivered. Kudos to Google and Coursera for this opportunity to learn new skill.

By Cong L T

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Sep 15, 2023

The course aims to the preparation phase of data which is a necessary step before processing data. Data privacy is also very important.

By jalaldhalip m

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Aug 31, 2023

I learned a lot of new things about the data. I learn about how to protect data. Spread sheet, SQL are the best thing about this course