I'm only rating this way because I can't rate the entire Google Data Analytics Professional Certificate. I just wasted 6 months on this course with the promise I could get a job in data analysis. Well, I can crush data analysis! But my lack of background in math is proving to make me unhirable. I wish I'd known this before wasting time and money on this program. Now I'm 6 months behind training for another career.

The course does not go super in depth in terms of teaching the technical skills, but it does enough to give you an overview of what you should know. However, the most valuable part of this course was the exposure to what data analysts do, what do can do to land your first data analyst job, and the possible job pathways neighboring data analyst.

I found a new passion in data analytics. I already signed up for a data analytics boot camp to further develop my data analytics team. Thank you to the amazing Google team that taught the courses.

needs more structure. More assistance links and video conferencing features. Don't include super-large data sets to work with, as we're learning, and it's not even real data. The steps in the packet are vauge, not giving precise instruction.

An elevator pitch gives potential employers a quick, high-level understanding of your professional experience. What are the key considerations when creating an elevator pitch? Select all that apply.

Its the best course i have taken so far on Coursera, It come with some of the best resource and practical knowledge. I will recommend this Professional certificate program to any one.

While it was fun and a great lesson to perform a case study, the instructions for doing so are a bit challenging. Also, it relies entirely on an honor system that you've done any work at all. So I feel there are some areas of improvement for this particular class in an otherwise high quality certificate program.

Individual courses were good introductions to the various subjects.

The Course on R could have been better.

The Capstone is an absolute joke. Just terrible.

I really wish I hadn't paid for this.

This certificate is helpful only on the most basic of levels. Will you learn appropriate vocabulary and have the most rudimentary understanding of what technical skills are required as a data analyst? Yes. Will you feel confident enough to not only complete a well-informed case study at the end, but also be a competent data analyst? No.

The first 4 or so courses were fine. The concepts were explained well and examples were provided. But once you hit the Analyze course, it all falls apart. To say that the Analyze certificate needs work would be an understatement. There was too much hand-holding through the basic Excel/Sheets exercises and too little explanation on the SQL analysis. It would make more sense to take more time to explain subqueries and JOINs in SQL than to assume people don't know how the SUM function works in Sheets/Excel.

Beyond course 5 (Analyze), my expectations dropped dramatically. The certificates "fluff quantity" didn't go down when it desperately needed to. The examples continued to be too basic with no real-life, on-the-job nuance and application. When you're actually getting into the processes you'll be performing on a daily basis as a real-life analyst (cleaning, analyzing, visualizing, presenting), there needs to a proportionate amount of explanations, context, and "why's" answered. More hands-on activities/exercises with real-world data sets that need actual cleaning and walking through the steps to legitimately analyze said data would've helped.

I don't feel qualified to work in this role after completing this certificate. There was not enough emphasis on the skills and discernment needed to actually do this job. Conversely, there was too much "grade school fluff" and the examples and content provided barely scratched the surface for what is necessary to work as a data analyst.

Also, the capstone project needs supplementation. If you're going to provide "guidance" through it, provide supplementary functions or suggested steps to actually do the project. Guiding questions aren't enough when graduates of this certificate only know 3-5 functions in R when you'd need at least 3x that amount to do a proper data cleaning in RStudio.

Overall, this certificate won't provide you much more than a surface-level understanding of data analysis. Additional courses on Udemy and referencing other case studies on Kaggle taught me more about the practical application of data analysis than this certificate did.

I have had a very tough time in Course 8 of Google Analytics at Coursera, I am feeling there is something missing at this point. Its not that I don't understand, I did well for all previous courses, I did understand and enjoyed. But at this point I think that there is something missing. It should not end up this way.  While studying here I was feeling myself energized by learning, understanding lessons and answering quizzes, because I was doing all my exercise and understanding all lectures and coding until lesson 8. Here I was disappointed and feel deceived. And the reason I guess is very clear. For people like me with basic English knowledge ( I am sure I am not the only one here) There must be a walk through follow along  included in this course showing how you make your profile step by step, putting things together and doing your case study, working with example and follow on applying all the knowledge gained so far and putting them together, not leaving like this. I AM SURE THIS IS SOMETHING WHICH IS MISSING IN THIS PART OF COURSE.

I felt INCREDIBLY unprepared for the case study and the instructions that were given were very unclear. I didn’t know how to start, what files needed to be used, how to import them since they were too big etc. I was looking forward to doing the case study but became quickly discouraged upon reading the case study options. I had to skip it because I couldn’t figure out what to do. I couldn’t find information on what I was supposed to do anywhere or even how to start. And both of the case studies needed to be done in R or SQL because they are too large for spreadsheets and I feel like the courses didn’t teach us how to solve these case studies properly, especially using R it felt like a very rushed and confusing course. Deeply disappointed that this wasn’t clear enough to follow along with. I felt completely blindsided and baffled that I was just thrown into a case study when the course never walked us through how to completely do a project on our own.

satisfactory

Overall, I thought this course was really good, especially for the value relative to the cost.

Coming in, I already had intermediate skills in data analysis, so the first few weeks of the course were a little basic and introductory. I appreciated that there was the option to test out of some of that framework.

I was really here for the SQL and R sections, which were new skills for me, as well as to improve my skills in Tableau which were very basic. While I found both these sections were great to form an understanding of the core concepts in SQL, R and Tableau, I don't feel as though I retained enough of the more advanced skills in these areas and would need to supplement in order to be proficient at these skills. I'm also more on the business analyst side and am not super interested in the more technical components, so it's fair to say that there may be others who will pick this up during this time.

I would have rather had the course focus only on SQL, vs including R, so that way users could actually learn more advanced functions in SQL.

For those just starting out, or for truly building a framework for an entry-level position, I think this course is solid and would highly recommend. But, if you're looking to go a little deeper

Good Introduction into data analytics but did not focus on HARD skills enough to function as a kick-start for a career change. It does great at building a foundation of understanding, but does not provide sufficient information or training on skills necessary to compete in a real-world job hunt. My advice for the course creators, a lot of these 4-week courses could be condensed, sped-up, or pruned all-together. The courses are full of video speeches or endorsements from Google employees in the field, and while this is nice for motivation, it doesn't do much to add real value to the course. Instead of bogging the course-work down with so many of these, they could have included more parallels to course-work and real-work that they have done, or skipped over these endorsements completely and dove a bit deeper into the hard skills required. Skills like SQL, Tableau, R, and Python. The course introduced all of these skills well, but failed to provide more than a cursory knowledge of each.

This final course, the case-study, was given when my confidence in these skills were low. I ended up spending a majority of my time on this final course trying to teach myself the skills necessary to complete the task, the same skills that should have been focused on throughout the course. While I managed to complete the case-study, I still feel like I lack sufficient understanding and ability in these skills to pursue a career change.

My advice to other students, don't delude yourself into believing this course is enough. Its a great foundation for an introduction to the field, but no where near enough to build the skills necessary to actually work in it. This course felt more like preparing you to pursue education in this field rather than preparing you to work. Myself, I will be exploring these skills further in other courses, and learn Python as well.

not clear about what i suppose to do . i just really asking and write in that form ?

Project is very vaguely specified. Because the project points to data that changes over time, I encountered problems working with the data beyond the scope of a beginner's project. I was unable to solve them and became frustrated and gave up after several weeks.

Overall representative of the half-assed approach taken by google with this cert. All this program does is filter out everyone who isn't already an excellent self-learner, and if you are then you can learn a lot faster on your own than wasting time wading through this program.

I honestly don't see how anyone has actually gotten enough out of this course to complete the capstone. There needs to be more hands on actual work done other than the little tidbits here and there. I've spent more time googling than actually working on this. If you're looking for this to actually teach you how to do this know that it is a very basic overview and this is it.

case study data sets are too large to work with, and it was impossible to complete for portfolio. Waste of time, and I wanted the practice

Are you interested in Data Analytics? If yes, I suggest you enrol and complete the Google Data Analytics Certificate program via Coursera. The Google Data Analytics Certificate program is top-notch.

A useful training course for all fields and gives expanded thinking to find problems and solve them in the best correct ways. It can be said about a method that reaches the correct thinking in life.

there must be review of case study to give feedback

The course, in general, is good: you do the activities with the instructors with Hands-On etc. but in contrast, there are just too many skills to learn to become a Data Analyst and it feels like the program does not prepare you enough. Also, in the end, you have to do a project and in this part, you basically have to do everything on your own, so I haven't done my case study, I don't even know how to start it, because I think it is quite challenging to do sth from scratch by yourself when you had the assistance all the time before.

It okay to give you the starting points to get to know the field of data analytics, however I expected more help finishing the capstone project at the end

Excellent course. Highly recommended. Teaches the latest technologies and provides real work experiences. Already leveraging some of the things I have learned in my current role as a business analyst.

This course is a must have in order to be confident about yourself in your search of a new career or to position yourself as an astute Junior Data Analyst. The learning experience is phenomenal!