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Learner Reviews & Feedback for Foundations: Data, Data, Everywhere by Google

4.8
stars
98,692 ratings

About the Course

This is the first course in the Google Data Analytics Certificate. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using 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: - Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. - Evaluate the role of analytics in the data ecosystem. - Conduct an analytical thinking self-assessment. - Explore job opportunities available to you upon program completion, and learn about best practices you can leverage during your job search....

Top reviews

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Jun 6, 2022

As a beginner I am feeling great to choose this course. All the concepts has been presented in such a easy and simple manner, everything is perfectly arranged that's make ease our learning. Thank you.

DA

Oct 7, 2021

Very good course, giving beginners an overview of various aspects of data analysis, as well as having data analysts share their experiences, which is a great way for learners to get to know the field.

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3876 - 3900 of 10,000 Reviews for Foundations: Data, Data, Everywhere

By Yanira P

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Mar 6, 2022

This is great! This has been an eye opener for me. I didnt knoe I using data in the daily basis. I recommend the course to anyone

By Oluyemisi A

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Dec 7, 2021

Data is life. Having data all around and no knowing what to do with it is now in the past. I navigate my day in the eye of data.

By Jyotish R

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Sep 8, 2021

THANK YOU GOOGLE AND COURSERA FOR THIS COURSE. THIS COURSE JUST OPENED MY MIND AND NOW I HAVE STARTED TO THINK LIKE A DATA ANALYST

By Hamza S

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Sep 4, 2021

A really good startup of the course, learned quite a bit about the theoratical portion of data analysis and some practical aswell

By Bonface R M

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Aug 10, 2021

very informative, delivers content is a very effective way making it easy to grasp important concepts. i really enjoyed the course

By Leonard B

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Jul 19, 2021

Excellent course. Everything is instantly usable for real life application. I am already applying the Data analyst skills learned.

By Eugene A

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Jul 3, 2021

It was very interesting and useful for me. different aspects of data analysis were covered in brief and it was easy to understand.

By mohammad k

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Jun 28, 2021

A Big thanks to google and coursera for giving me opportunity to prove my self.

and once again thanks.

with regards,

MOHAMMAD KHALIL.

By Michele C

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Jun 10, 2021

This course was a great introduction into Data Analytics. I am curious to learn what possibilities lie ahead for me! Great course!

By ANIKET S

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May 16, 2021

Awesome explanation starting from basics. Everything that a data analyst do is included here. One must definitely go through this.

By Lu H

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Apr 22, 2021

I love the course because it gives the big picture about data analyst role and also the basic detail about what data analyst does.

By Christain S

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Apr 17, 2021

This course gave a great look at the basics of being a data analyst, and the opportunities that may arise from taking this course.

By Md. E A

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Nov 6, 2023

This excellent course for data analysis basics is well-taught and easy to understand. Highly recommended for beginners. -- Arafat

By Phadre M

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Aug 6, 2023

This foundations course was AMAZING! So simple to use and easy to understand. I loved how hands and engaging the activities were.

By SAMART B

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Jul 7, 2023

The course content is concise and easy to understand. I highly recommend it to anyone interested in learning about data analysis.

By Angelica S

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May 29, 2023

Awesome Course, Perfect for beginners like myself and makes me look forward to continue on with data analytics education journey.

By Boniface K

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Apr 18, 2023

A must do first course - enjoyed my learning journey every step of the way. Big up to Google Coursera management. Happy learning!

By Okeremute O

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Feb 21, 2023

It's a well detailed course with easy to understand videos and readings, and a glossary that's an easy go to to refresh the mind.

By richa s

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Jan 5, 2023

Very informative and fun course to build up your fundamentals and start from the very basis in a way that will get you motivated.

By archana

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Dec 12, 2022

Very nice, elaborative course that builds the foundations of why & what data analytics is with core concepts explained in detail.

By Zohreh G

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Dec 10, 2022

Special Thanks for providing such a valuable education . This course conveys effectively basic and foundation of data Analytics.

By Kartik S

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Oct 3, 2022

More than easy to understand, instructor is really motivating and knows what he is talking about, well done Google and Coursera.

By Somaye K

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Sep 29, 2022

I've never studied about being a data scientist in theory. That was an amazing course for me. I really enjoy every moment of it.

By Talha K

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Sep 26, 2022

Great insight on the data analyst fundamentals. A highly recommended course to get started on a data analytics learning endeavor.

By chakravarthi s v

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Sep 25, 2022

In this course am what is data and how data was prodused. Different types of data like primary data , scondary data and big data