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

4.8
stars
99,449 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

SC

May 13, 2022

I really love how they explain concepts about data, share experience , easy to understand and improved my foundation about data. The assignments and quizzes really helped me in undestanding the course

JF

Aug 7, 2021

Awesome class. Found out why I'm always analytical about things in my personal life and the critical thinking that this provides. I love it and hopefully this will help me land my dream job at Google!

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3976 - 4000 of 10,000 Reviews for Foundations: Data, Data, Everywhere

By Pranay M

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Jul 23, 2021

The Best introduction of any course. The importance for teams and the act of humbleness is so well explained! Motivating Course.

By Desiree A C

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Jun 24, 2021

This course has helped me greatly in opening my eyes that data has power. And without data analysts, data will be without power.

By Allan J R

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Jun 8, 2021

This course is jampacked of learnings, really excited for the other courses and to become a certified data analyst professional!

By Arica M

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Jun 7, 2021

I am a beginner in this field and the foundation course really helped me get a great insight into what data analytics really is!

By Ekpenyong B E

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Apr 28, 2021

An excellent introduction to Data Analytics for beginners and a perfect refresher for those already practising as Data Analysts.

By Austine A

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Apr 23, 2021

Very interesting course to start your change in career path with data. Love the tutors and the easy ways they made learning fun.

By vishnu p

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Apr 9, 2021

It's a great course to get overall view about various topics around data and data analysis. Content is well organized by google.

By Wilder O

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Mar 30, 2021

Excellent foundation. Even though I knew most of the topics I did learn a lot, and refreshed what I knew with a new perspective.

By Jose J M

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Dec 27, 2023

This serves as an excellent initiation into data analytics, and I appreciate the course's emphasis on the business perspective.

By Liliya B

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Nov 30, 2023

It was engaging, not too challenging but informative. I especially loved the quiz sections because they used real life examples

By Ivan B

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Oct 16, 2023

I really enjoyed the course. I learned a lot and I'm sure it will help me in my further career. Thank you for a great material!

By Anjanaa P K

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Oct 13, 2023

The course gives you daily life experiences which you can relate to and makes us feel the importance of becoming a data analyst

By Iram M

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Sep 16, 2023

This course is amazing. I think this is the best decision of my life to enrolling in this course and learn about data analysis.

By Fitore F

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Jul 13, 2023

Very understandable. I enjoyed listening to Tony while he explained everything. I feel like he is one of the best teachers here

By Marco K

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Jun 27, 2023

Really great intro into the world of data, enjoyed it a lot! Nice mix of techniques to teach new things along the way. Love it!

By Rajat A

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May 1, 2023

EDUCATOR TAUGHT IS BEST AND SIMPLE WAY TO UNDERSTAND THE BASICS OF DATA DRIVEN WORLD AND KNOW THE VALUE OF DATA IN 21ST CENTURY

By Salomon S R

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Mar 21, 2023

Excelente introducción al análisis de datos. Es genial tener la oportunidad de aprender con la experiencia de equipo de Google.

By Kamrul A

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Mar 7, 2023

It has been a great learning experience . All the contents are highly informative and lots of ideas,concept are to be acquired.

By Alexa B C

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Jan 15, 2023

Great way to introduce the Data Analytics field. The course has also provided us ideas in the different and expected job roles.

By Emmanuel N

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Jan 12, 2023

This is an excellent opportunity for people like me thanks to Coursera for this opportunity it was a great learning experience.

By PRACHI S

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Dec 28, 2022

it is the most interesting course you can enroll and learn many new and important things as you aspire to become a data analyst

By Omneya H A

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Nov 22, 2022

I learned a lot about data, analytical tools of data, the ethics of the data analysis process, and the phases of the procedure.

By Elizabeth W

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Nov 13, 2022

Great course for data fundamentals! The course really balances all different types of learning - visual, readings, videos, etc.

By Ricardo C

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Nov 3, 2022

It an exceptional course that really change the game! I t helps how I see the data's world and the opportunities it has for me

By John P R S

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Oct 10, 2022

So much to learn about the basics in becoming a Data Analysts, Google helped me building my vocabulary and foundation in data.