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

101,042 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


Sep 9, 2021

i love the course as it helped me understand the importance of asking the right questions, understanding the problem and expectations of stakeholders and impotance and the right way of communicatilon.


May 31, 2021

Solid "big picture" refresher course before getting into the more technical stuff I'm sure down the road, even for folks with backgrounds in math and science but haven't used it years (okay, decades).

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101 - 125 of 10,000 Reviews for Foundations: Data, Data, Everywhere

By Karimi N

May 16, 2024

Great introduction to a new subject matter with real practical examples. The self paced learning is a winning strategy

By Madhav C

Jul 18, 2022

Successfully I have completed the first course of the Google Data Analytics Professional Certificate. What I learn from this fundamental course “Foundations: Data, Data, Everywhere”, I just share with you all.

The systematization of the analytics process was exceptionally helpful - probably the best takeaway of the entire certificate program. This course is a great intro to data analytics skill. It introduces tools such as spreadsheets and SQL. Found out why I'm always analytical about things in my personal life and the critical thinking that this provides.

I enjoyed the stories that the different instructors shared, and can feel that they are personable people. I appreciate the work put into this!It would be nice if the subsequent text included a link to the section with the information because I felt some of the answers were difficult to go back and find.

By Robert P

Mar 31, 2021

Good basic overview and introduction.

Some inconsistencies in volume level and lack of continuity between video sessions made the course difficult to listen to at times.

Because it's so basic, if you have any experience at all you will find many of the exercises--especially the writing exercises--very tedious and not particularly helpful.

The course's framing of holistic/accurate/open-minded analysis as "fairness" is confusing and could easily prove problematic in the formation of new analysts.

By Jonathan W

Mar 14, 2021

This course provides an interesting panorama of data analysis. I believe it to be a good starting point for those pursuing this career path. I think the course should add an interactive SQL component and possibly also an interactive spreadsheet component in which participants can see the results of queries and get automatedd feedback on whether they match intended results.

By Joy L

Oct 5, 2021

I found the course and pace very interesting and liked the ratio of videos to readings to logs etc. However, I felt the SQL and Query section needed way more practice for beginners like me. I don't think the section covered it enough to really get a grasp of SQL.

By B Z

Mar 14, 2021

Comprehensive introduction to the data analytics methodology. It is especially helpful for people who are starting from scratch. If you scored well enough at the quiz and know excel, feel free to jump directly to the second course.

By Mohamed o

Jan 27, 2023

It'll be much more beneficial to indicate why an answer is wrong instead of returning to an entire video, because sometimes it's not really clear why the answer is wrong

By Luis B

Feb 11, 2023

I would like to know why my certificate does not mention my name, instead appears Coursera Learner

By Ece A

Apr 9, 2021

I already attached my coursera account to Google, that is why even if I log into the coursera system from incognito mode the Qwiklabs keep getting an error as I am logged into my personal google account. That is so frustrating. Please fix it!

By Suman D

Jun 18, 2021

Course content is very basic


Mar 17, 2021

it is just an introduction

By David M

May 24, 2021

Too basic

By Kamila P

Mar 25, 2023

Too much theory on a very basic level stretched over too many weeks. 

The course is created for total beginners who don't even understand the concept of data. Does it really make sense to make it so basic, considering the fact that in the same specialization we should learn about SQL or R and that this specialization should prepare us for entry level data analyst jobs? They allow you to skip the lessons if you pass the initial test and only complete the “challenges”, but even if you have some previous data analysis experience you may be surprised by the number of challenges questions asking for specific definitions of terms (which must match the glossary presented in the course).

I'm totally surprised that the creators thought that the format of repeating the same definitions (in a school manner) and giving obvious, little real work-related examples over and over again will teach anybody what a professional data analyst does in their work. "Talking head" + text to read + filling learning logs (which takes a lot more time than the first two elements even if it adds comparably little value ) is not an effective way of presenting this kind of content. There should be a lot more gamification and visualization to make it interesting and easier to remember.

Instead of talking and talking about how important a data analyst job is, I'd expect to be allowed to learn the concepts by following real job-related scenarios along with the information what kind of data analysis tool would be used and why (even if without any further details at this moment). What was really surprising about that course was a final challenge where… we eventually need to follow the real scenarios and we even were asked some more technical questions, rather easy, but not covered in the course material.

Hard to say who could really be the target audience for this theoretical course… But definitely not people who think seriously of starting a junior data analyst job - they would need to search for more advanced and more applicable theory somewhere else.

By Farrukh K

Aug 16, 2023

Let's address the elephant in the room: content delivery. It's baffling to me how a course that claimed to be a learning opportunity turned out to be a prolonged monologue. Approximately 90% of the course consisted of endless talk, droning on with theoretical discussions that seemed to have no end in sight. It was nothing short of torture to sit through these never-ending lectures.

What's more infuriating is the complete lack of hands-on learning and skill-building exercises. It's as if you forgot that your students signed up actually to learn practical skills and apply them in real-world scenarios. Instead, we were subjected to an unrelenting barrage of information without any opportunity to put that information into action. The handful of exercises that were thrown our way were woefully inadequate, and they only served to highlight the glaring void in the practical aspect of the course.

To sum it up, the course was a colossal waste of my time and money. I expected to come out of this with tangible skills and a sense of accomplishment, but all I got was a masterclass in endurance and frustration. I sincerely hope that you take this feedback to heart and seriously reconsider your approach to teaching. Students deserve better than this one-sided, uninspiring lecture-fest that masquerades as education.

I have no intention of recommending this course to anyone, and I genuinely regret the decision to enroll in it.

By Landon C

Nov 18, 2022

The course was okay in general but a lot of it felt like a waste of time. Here are the pros and cons.


It was good for introducing the topics you will be looking at more in depth, was positive, and all of the content was very high quality and accessible.


The main issues I had with it was that it repeated the same things over and over so many times that it actually got fairly irritating because it was often not even useful. They could have made all the same points in about half the amount of time or less. SO much of it was telling you "what you are going to learn" and giving you pats on the back at every turn. Instead of telling students what they are going to learn over and over, just teach it because that's what we all are here for. An occasional "good job" at at the end of a quiz is nice, but you really don't need to tell me how much of a "rockstar" I am and how "exciting this journey is" at the beginning of every video. It feels pretty shallow and patronizing after the first 3-5 times you hear it in just the first few videos.

By Janet B

Jun 18, 2021

I was hoping this course would be a really great way to learn about some of the techniques of data analysis. Instead, it was repetitious, banal, and most questions were extremely low-level memorization/regurgitation.

By Lauretta I

May 29, 2023

we need more practicals

By Juancarlos D

Jul 15, 2022

I am dissapointed that i was right about my expectations on this first course, that it is just playing to the emotions and excitment. most of the course teaches nothing truly relevant to the process of learning data science. throughout the course i felt as though i had to read the Webster's dictionary definiton of what ask, process, share, blah, blah is. The teaching approach on this course is similar teaching a kid that wants to grow-up to be a baseball player, the he or she first need to know statistics and physics that is involved in the game of baseball. say, first learn at what angle the bat has to be in order to generate the height and speed necessarity to get the ball out of the park and what is the probability of it considering wind, rain, and other elements. THAT KID WILL NEVER GET SWING A BAT if this is the route he/she is on. So this bottom-up approach is BORING and IRRELEVANT. I don't think i need to know that ask comes before blah, and that share comes before blah. Get me hands-on activities that will encourage the student to ask what is the problem about, how to collect the data, what process should be follow, etc, etc.

so again this course is only playing to the emotions and excitment. This course should not be required as part of this program. NOT SURPRISINGLY DISSAPOINTED.

By Said A

Dec 20, 2022

At least one of the instructors of Google Analytics certificate courses is unwatchable in his teaching.

Coursera should be considerate, fair and universal in its approach.

The so-called research scientist and the likes at Google shouldn't be included in any course program at Coursera.

Majority of the people worldwide especially the sane ones oppose liberalism. It's disgusting and excessively wicked.

Be fair, let real men and real women teach and be engaged in any course program at Coursera.

Or just advertise yourself as learning platform that targets liberals? You will see multitude of good people leaving Coursera immediately.

2022 was the year liberals were exposed more and firmly opposed everywhere. From the leading East to Twitter Files in the West.

Get out of siding with certain ideology (liberalism) or politics (Democrats).

Students came here to learn tech and business skills for example not about accepting the left-wing.

I neither came here to support the left nor the right.

I am unenrolling from Google Analytics Professional Certificate course because of the bad instructors.

Beneficial Data, goodness and reality that's inline with universal moral principles, dignity and mutual benefits opposes the evil, harmful agendas of the insane lowly liberals.

By Deleted A

Sep 26, 2022

Why would completing the course take 6 months? Video content was repetitive and for the most part uninformative. Course description stated participants would " learn in-demand skills ... and learn how to process and analyze data, use key analysis tools, and create visualizations that can inform key business decisions. " Not true. Course content focused on what analysts might do, not how to do it. I'd be embarrassed to present a certificate for this course to an employer.

By Deleted A

May 16, 2022

Some of the material was very repetitive and in the process terms kept changing making it a bit confusing to learn.

Hated how I had to fast forward thru the vides to mark complete or make a comment to the message board for it to complete. I just read the scripts for the videos - that is much better for me given my learning disability.

Overall - content was very good, useful, and helped me build a foundation for data analsics.

By Rain S

Apr 1, 2023

I understand that Coursera is designed as a forprofit make-money company. However, when I applied to the Data Analyst Pro Certificate finanical aid, I did not see that I have to apply for new financial aid EACH TIME FOR EACH CLASS in the entire certificate program. So, each class will take one to two weeks for Coursera to approve financial aid for it. This is a waste of time and it is a fraudulent scam.

By Jennifer K

Nov 19, 2021

Painfully easy, no real value to be gained. The steps of the process could have been a single lecture with multiple practice problems to help solidify the concepts. Why waste a supposed 5 weeks to go over redundant topics? The material realistically can be completed in a single day if you have the time, or over a week if only working on it an hour or so a day.

By Chase R

Jun 27, 2023

i learned nothing from this at all, waste of time, stop placing a ton of fluff infront of what I actually came here for....I don't want to read about "the data analyst mindset" and learn about "the vocabulary".....where does the meat of these lessons start?..where's all the real math and work here?

By Lucio L

Apr 28, 2023

The course is too slow in adding content. The whole course was only an introductory class. Nothing practical was taught, no data analysis skills trained.