Excelente introducción al mundo de los datos, es bastante educativo. Las herramientas utilizadas para el aprendizaje mantienen el interés del estudiante en todo momento.

Me ha encantado el curso, lo bien preparado que lo tienen, lo accesible que es y la información que contiene, es inmejorable. Muchas gracias

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

So enlightening and easy to follow and move along

Amazing !!!! I have no words. It is just amazing.

good, informative and clear explanation of basics

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.

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.

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.

I posted a question in the discussion forums and have not received a reply. So yeah the staffs are dead. This whole course could have ended in 3 modules honestly. Like there are a bunch of fillers in this course sadly. But 70% of the course was nice to go through and learn different things and get started on the data science bandwagon.

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.

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.

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

Everything was very well structured EXCEPT SQL (didnt understand it cuz they went from 0 to a 100 real quick).

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

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!

Course content is very basic

it is just an introduction

Too basic

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.

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.

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

PROS:

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.

CONS:

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.

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.

we need more practicals

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.