While the the first 3 modules were insightful, the last 2 sections of this course felt like stuffing. The last week in particular should be in an intro to job finding course, not a data analyst course.

I think the course was great and all of the content was excellent, HOWEVER, I WAS EXTREMELY UNHAPPY WITH THE PROCESS TO GET MY CERTIFICATE!! I WAS BASICALLY HELD HOSTAGE AND FORCED INTO UPLOADING A PICTURE OF MY LICENSE AND PERSONAL INFORMATION ATTACHED TO IT. NOT ONLY DID I HAVE TO THEN SHOW MY FACE FROM THE FRONT.....I WAS ALSO FORCED TO TAKE SIDE SHOTS....LIKE A MUG SHOT AT A POLICE STATION.

I AM VERY UNHAPPY AND UPSET WITH THIS PROCESS!!! I LIKE TO KEEP MY PERSONAL INFORMATION PERSONAL.

WHY HAS COURSERA IMPLEMENTED THIS PROCEDURE??? I DID NOT HAVE TO SHOW ANY OF THIS INFORMATION FOR MY FIRST TWO CERTS!!!

There are some really useful parts throughout the course should you be interested in making a career in Data Analytics. It provides a lot of recommendations for how you should present yourself and build networking in DA community. The course literally pushes you to take your first steps. At least that's how I felt. Along with this, there are a lot of emphases on the ethical side of data handling and data types. Qwiklabs were informative with Big Query practices. There weren't any issues I encountered with Qwiklabs. It was pretty easy to use. Just make sure you're using Chrome incognito. Hope it all continues like this throughout the specialization. I'm looking forward to have more challenging hands-on practices and graded exercises with SQL, RStudio, and Spreadsheet. I also hope there will be more graded exercises involving Kaggle to some extent as well.

there is no good or professional practical exercises, the exercises there are very shallow and naïve >>>>kindly include some challenging practical exercises

I absolutely hate this Google Data Analytic Course so far. First I don't like the mixed formats of learning as far as reading, then listening to a video, then discussion, then activity, then quiz and tests. It would be one thing if all of the reading was together and then all of the video was together but when they are all intermixed it makes it heard to follow along when you have a busy life. I can't flow through the course seamlessly. If I'm reading from my phone and don't have a laptop but an activity pops up that requires me to use my laptop I have to stop or skip around. If I'm driving and listening to a video (which I do a lot) I have to stop when I get to a reading or discussion. I wish it was all the vital information was delivered in one format ie. all reading or all video and then have the other formats as options for people who need extra ways to digest it. The 2nd thing I HATE is not being able to easy see where I am at in the grand scheme of the entire course. There isn't a collapsible timeline that shows every course and corresponding weeks that is visible at all time in a sidebar or somewhere on the page. So when I am in a weeks lessons I can see which course or sub-course that I am in, in relationship to the entire certificate. And then on each page the course isn't numbered, there's just the title but its hard to remember the. titles in relation to the entire certificate. Its so frustrating and confusing. And then when I click o the Google Data Analytics Link it gives me a timeline that isn't in order and again the courses aren't numbered so I can't tell what order they are suppose to be in.

The lessons were easy to follow through and the explanantions were easy to understand. The hands-on practices also helped improve hands-on skills with the data analysis tools introduced in this course

Great course about Prepare Phrase of Data Analysis, this course explain more about Data as types, structures, how to organize, protect data and basic guide about SQL syntax and interface of BigQuery

There is a lot of useful information about how to manage data, considerations for data security, and organization of data. I felt as though I learned a lot and advanced my skills with data analysis.

Excellent course, learned a lot useful skills, the most I enjoyed was the basics of SQL and also the different media platforms like Kaggle and Github.

Also very good presentations from the tutor.

This Course is Excellent. This Course provides a how databases are working with Google sheets and SQL. I enjoyed the course and the material. Thanks Google for this amazing Course.

I think the course itself is a great way to introduce someone to data analysis but it is advertised as you getting a job with the course only which is possible but from the discussion forums I found that most people need to go through extra training form SQL, Python and Excel. I when advertised as someone with no experience can change careers on this course, the 85% of people getting jobs is skewed but the people already in the field just moving up. I would love to see the success of people changing careers and getting a job in data analytics after only going through this course and no extra training. Also, ran into issues in one or the quizzes, where the system was giving out errors and the way it is set up, the only way to get help is through other people in the course, if you're lucky they have the answer if not, you're stuck. The chat was not help since all they did was advice you to check the forum for similar problems. The course is great but should be advertised as what it is, only and introduction into data analytics not a career changed on its own.

Information in the first three courses of the specialisation is vague and non-practical at all. Some concepts are too easy, some don't make sense if you didn't have prior experience in programming and databases. Hope the next courses will be more to the point.

The laziness of the curriculum is outrageously disappointing, especially coming from a company as prestigious as Google. Does this lazyness also applies to their company culture? Like the previous courses, here Google are too lazy to put the more important, technical tutorials on video tutorial format. instead, they put tutorials about SQL and Kaggle only in text format (hands on assignments), which accounts for a minor share of the whole course. The majority of the course is dominated by video explanations from instructors which unfortunately cover duplicate basic topics such as the type of datas, tips, etcs in which could have been in put in text reading format. I am very frustrated, because as a student I needed to learn SQL in video format, like those common "how tos" youtube tutorial. That is my expectation. If I needed to learn from external source in order to pass the assignments from this course, that means Coursera, Google and the instructor aint doing a good job teaching.

Definitely aimed at recent high school graduates as "candy" and "ice cream" companies were their main examples. Big query didn't work for me. Despite signing up for the sandbox I received errors that I didn't have permission to access any data. There are a bunch of attachments to download that aren't even needed to answer the questions so it's irrelevant information and results in wasted time. Really frustrating. A lot of the readying was redundant as is mirrored what was said in the previous video. Additional information with more details in the reading would have been better than the same stuff, just slightly different wording. Finally, the circular motion repeatedly done with the left hand by the instructor (the only bodily motion at all) was very distracting and annoying.

The information of prepare data for exploration in this course is really good, the videos are good, easy to understand so why only 1 star. I found two things that I don't agree with. Using platforms with free trials and paid versions, in the videos of BigQuery that we use google cloud platform and sandbox and have to use a trial to study. on those videos we use SQL and nothing more, so there is many ways to learn SQL. The second thing was an exam where 3 questions were asked about Kaggle, social networks and what people think about it. It seemed to me that it was like a market study and questions about how we would think it could be better or what is needed. It seems to me that we were helping them with market research and not learning.

I absolutely love the diversity in the presenters for each of these courses in the program. The presenters were very knowledgeable but were excellent in breaking down the information in a beginner-friendly manner. There was so much content, but possible to learn and understand. I really loved the interactive lessons that gave the learner the plenty opportunity to practice the new content within each lesson. I really enjoyed this program that helped me to learn what I needed to learn without feeling overwhelmed. It was also extremely helpful that the design of the new information was always presented in a manner that real-world applications.

I like this course best among the first four course in the track. Many data analytics courses only focus on the technical skills of data manipulation, but understanding the ethics and governance on a higher level is essential to actual work around data for all roles in the workplace.

There is no other word than "AMAZING".As a student from the non-IT background I was always amazed by the jargons IT nods use. Felt it was never my cup of tea even though I have a flair for it.I am really enjoying this journey.Thanks for Google and Coursera for hosting this

Really enjoyed the course and the material it included. There are very important concepts taught during this course that must continuously be referenced when performing a data analytics project.

Thank you,

Peter

This course is providing a more information about types of data collection and structure, ethics, privacy of data. Introduced many online communities to increase professional network.

clear, concise, and most of all no type in question that need specific answer where the answer can be vary

Using Interesting concept, easy to understand and learn skill in the fun way.

Learned a lot about SQL and Spreadsheets,

Course 3 was really helpful.

I like that the trainers touch some topics not often mentioned in other courses, like networking and online presence and profile, but the caveat is that so far the depth of practice with basic tools is lacking, plus the challenges are too easy and too focused on concepts not put in practice that much.

I think I'd be better if Google suggests to get some more practice by ourselves to get proficient in SQL and spreadsheets, let's see how much in depth R is covered.

Overall it was good to refresh my memory on certain concept. I really wish Qwiklabs' tutorial was updated for better instructions.