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

4.8
stars
100,761 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

PR

Jul 10, 2022

This training has been incredibly helpful to me. Even though the term or precise stage is unclear, I have been working as a data analyst for a while. After taking this course, I feel really competent.

NM

Aug 31, 2021

i am really happy that i have completed this course thanks to coursera i am willing to enroll the next courses to fullfil my knowledge and dream.#thanks google and coursera to give me the opportunity.

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1851 - 1875 of 10,000 Reviews for Foundations: Data, Data, Everywhere

By Nazir A A S

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Dec 31, 2023

I am impressed of the teaching skill of course instructor. It was very helpful, understandable to me and I wish him all the best in his life and work environment. I hope I will see him during the next courses.

By Nay L A

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Oct 24, 2023

It helped me to explain as simple as I can understand esp for the beginner. The course structured well build to have fun in learning. This is probably the new approach to learn without much tiring or boring.

By Diego R

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Aug 23, 2023

Really good introduction to the world of Data Analysts. This course did a great job showing me the basics of data analysis. the resources on this course really helped get through it smoothly. Highly recommend!

By Abe M

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Jun 11, 2023

Great course by Google! This course provides an excellent foundation for Data Analysis, including the technology and tools to handle BIG Data. Great instructors who can guide you along this learning journey!

By Alimi T M

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Mar 13, 2023

The course process is a top notch! Easy to navigate with Vibrant instructor - Mr. Tony. It's also a less data consuming. I recommend this course for anyone who's ready to get on the journey of data analysis..

By Mercy I K

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Feb 23, 2023

Thanks so much for teaching me this knowledge.

My full name Komolafe Mercy Iyanuoluwa was not indicated on my certificate . Komolafe Iyanuoluwa was written on it. I appreciate it if it can be corrected. Thanks.

By Víctor V

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Dec 9, 2022

Excelente curso, con maravillosos instructores y herramientas pedagógicas precisas. La experiencia de iniciarlo cambió por completo mi panorama de elección de carrera y me ayudó a ver un futuro más brillante.

By Jan A W

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Sep 8, 2022

Excellent intro to data analytics and the areas that will be covered through the course. For someone like me new to data analytics, this was very informative and eye opening as to what can be done with data.

By teymoore k

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Jul 4, 2022

Got me excited to learn and covered the basics, cant wait to see what the other 7 courses hold. Great starter course to the specialization and what better place to learn about data analytics than from google.

By Christabel F

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May 21, 2022

I'm just beginning this journey into data analytics and I am so overwhelmed at how explanatory this course has been for someone like me who had no idea what the course was about when I just started the lesson.

By Deepak S

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Apr 28, 2022

Really great Foundation Programme. I didn't think too much of it at first, but after doing it I am glad I did. It gives a really nice and clear framework and understanding of how to go about with Data Analysis

By Sukanta R

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Apr 12, 2022

It was a wonderful experience going through the videos, contents, and challenges. I am thankful to Coursera and all my Google instructors for providing me with such a wonderful opportunity to change my career.

By David E R

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Apr 4, 2022

One of the best courses for a solid foundations on data analysis. I loved the whole course, I've learned valuable knowledge regarding the data life cycle and the data analysis process. This course was awesome!

By Adrian N

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Jan 24, 2022

A great course that does not only provide technical explanations about the introduction to data analysis but also presents a few inspiring lectures or videos on how to pursue a journey of being a data analyst.

By Marcos H

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Dec 26, 2021

Muito bom, o curso oferece uma visão geral sobre o que é um analísta de dados e quais ferramentas e processos são usados na área.

É apenas introdutório, mas é muito bom, estou bastante animado para os próximos!

By Gokul R

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Dec 13, 2021

This course has given me an insight into the life of a data analyst. The course instructors are so nice giving us examples for every concept they teach. Thank You for making me confident proceeding forward. :)

By Patrick L R

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Oct 23, 2021

Thank You Google for creating this course and the related Google Data Analytics Certificate program. I learned a lot in this Course 1 and I look forward to learning much more in the next course in the program.

By BOUMARAF I E

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Aug 5, 2021

I learned a lot of things, what is data, how do I analyze data, how do I differentiate between the diversity of data analyst tasks, I learned to use data analysis software, I learned a lot of things, thank you

By Devani S

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Jun 13, 2021

I'm a 100% beginner to data analytics, and found this course to be extremely insightful and inspiring. It's helped me begin to think more data oriented in my current role, and I'm excited to continue learning!

By Johnny H

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May 31, 2021

Very good at explaining the foundation of what a data analyst is and what they do. Also gives a very brief overview of the tools data analysts use to give some familiarity before getting into the next courses

By GEORGIOS S

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May 18, 2021

Well, honestly it is a very interesting and helpful educational course! All of the teaching staff is amazing! Congratulations, Google! God bless you!

P. S.: Of course, it is strongly recommended to everyone!!!

By Riadul I R

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Apr 11, 2021

Amazing, It is for me. I didn't know about data analyst and how steps of the data analysis. But now I know about data analyst. It so helps me too much knowledge about data analyst roles. That's a great google.

By Saad Q

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Aug 21, 2023

Taught in detail and every aspect is shared in well manner and broken each part very well made it easier for new comers like me so we can easily get it. Really thankful for this course, thanks to Team Google.

By Prashant B

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Aug 7, 2023

This course helps me beyond my expectations. This course introduced me into the world of Data, via this course I've learned that how our tiniest decisions in our daily life are based on complex data analysis.

By Subramaniam S

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Feb 6, 2023

Very good introduction to the certificate program in Google Data Analytics. Though I have worked in Information Technology industry for more than 30 years every week in this course is something new to learn.