Happy that we are finally getting to the "work" of the data analytics piece. All an all this was pretty easy to follow along with. Would like more hands-on examples and that the data provided in the end of course review is used in the questions. It also would be nice to know when something should be followed along with, and when we should be trying to get accounts and/or access to do what the instructor is doing at the same time.

This course is awesome. I like the way they lead me step by step over the process of preparing the data for analysis . I also love how they guide me on how to create a good networking which really benefits for me to land my job as a data analyst. However, I think the multiple-choice questions are just too easy, I hope it will be more challenge so the course takers would spend more time to reflection on.

This course definitely ramps up when you get to week 3 compared to all of the work before it. It is super informative the only reason I am not giving it 5 stars is because when working in SQL the program has us use BigQuery but the reading and videos dont tell you that BigQuery has some coding differences from SQL and they dont tell you that until after you have frustratingly found this out on your own.

Course three was getting into the meat and potatoes of the coursework. I was not altogether enamoured with the focus on BigQuery. I am sure there are other websites. But OK. BigQuery is a counter-intuitive site and very difficult to use and understand. I am good at wading through new programs, and this one was hard for me. Also, some of the test questions are coded with the wrong answers marked correct.

Pretty good overall. There was one or two sections that seem to throw me off. It was the two sections regarding writing code and it was difficult to remember the correct syntax. I also found the intro to Kaggle a little intimidating. I also feel that the screen shots and directions on using Google BigQuery need to be updated. I couldn't find some of the commands during the exercises.

A little misleading in it's modules. In module 3 I think you are learning about types of data, so simple terminology, and then all of a sudden at the end of the module you get hit with multiple long segments involving BigQuery. While I appreciate being taught BigQuery it would be nice if the module was title BigQuery or SQL so that the user knows this is going to be a bit more involved.

I enjoyed this course, there was less self-reflection as well. The bias part was truly interesting. I did feel that Kaggle was pushed very much on me and it seemed too advanced. I enjoyed the SQL bit but it was just a bit and I look forward for more. I'm looking to gain practical skills since I am already working for 15+ years but I do see the value in the other topics taught.

I have learned a lot during this course as well. I rate it slightly lower than the first two because there were some places where the dataset we're supposed to use for the activity were no longer available. I believe this is an oversight that could have been overcome by using datasets that does belong to Google, or at least one that will never be taken off BigQuery.

i believe it was a good course but only problem was with module three, it takes more than usual expected time so it was tiring but beside that i believe it almost everything. i hope in future course i could learn and practice with SQL. plus i hope at the end of each course there would be more practice either with BigQuery or kaggle. thanks for proving this course.

Some of the places that require you to go to other sites is difficult to follow if not on dual screens an also as it does not match up I know sites change but for the purpose of following along it can be difficult I figured it put but what about the person that doe not . Also love the presentors curls but it was distracting they are cute just all over the place.

I think this course definitely helps you out a lot when it comes to entering the field. There's a lot of sites that I've never heard of nor interacted with, so I appreciate the information when it comes to finding data sets to operate on and also collaborate with. I only detract a star from this one because some of the pacing early on in the course feels slow.

from my point of view:

First note:

Please add some translations to the video clips to facilitate studying and spread the course among many countries.

Second note:

Also with regard to video clips; We ask to improve the color of the font, because the caliph is white and the font used in writing is blue, which makes the contrast low and strains the eyes.

I liked the course it was informative and going into the depth of the topic of the data and the analysis work, my only comment and I believe it goes on all the courses i would like to have one example and from the beginning to the end and build on it each time we have a new information or aspect. that would be more helpful, I guess. Thanks.

I loved the course and materials provided. However, I feel like a lot of sections were repetitive and instead could have been devoted to showing a bit more about spreadsheeting, SQL/queries, and command structures instead. Overall, I believe that the course was well constructed, especially with showing how to network with other individuals!

Overall great course! Within the SQL there are some steps that need to be updated for the hands-on activity, as many of the datasets within BigQuery have slight different naming conventions. So when I was searching for the public datasets I had to use different keywords, than indicated in the instructions to locate the correct set.

Course is very precise, nicely explained, covering all the topics from scratch. The best thing I like about this course is the videos are very short and crisp. They don't bore you with long 1-2 hour videos. They have a combination of videos, readings, assignments, practice quiz etc. which makes the course very interesting to learn.

I appreciate the course has good content of information to learn and develop.

I would like to inform that, spreadsheet security & protection is not explained completely in this course. If these examples are added the course will be more helpful for beginners.

Thanks for the support to make process daily with this good information.

Big Query, has several changes that makes it very hard to do the hands on activities. Eventhough it is not necessary to pass the challenges, I would have liked to have done all of them. It was impossible to upload the table or do some other things. I guess i would need later one more training for even the most basic queries.

This one was mentally draining and requires a ton of focus and should be updated soon. Since it wasn't fully updated it forced me to make sure I really understood what I was doing and forced me to get comfortable using BigQuery and writing Syntaxs. It all worked out for the better but, ended up taking longer than expected.

I really like this course. It is well explained and has a logical sequence. My only objection is the part Kaggle was introduced. I felt lost and ... still I am. I know what is it for but not sure how to work with it. Maybe to suggest some projects to work with it like in the BigQuery section would be helpful Thanks.

Really good, just a few problems in week 3 when we try to learn SQL, because the examples were not available any more, but later following the instruction we could get the path again.

In general this course Prepare data for exploration was very interesting, I really enjoy it. Thanks Google and Coursera.

Great course for beginners and who are confused who to get started and what are the right things to think about while analyzing your data. This course takes a tour of querying data, ethics and security principles that an analyst should follow topped with many analytics community networking tips!

This course is generaly helpful, however, I found some sessions are harder than others and requires more time to that particular session. It would be more ideal if the materials (i.e. technical and non-tachnical materials) to be spreaded out more evenly throughout the entire course. Thank you.

I think there was a missed opportunity to give a real task using kaggle. This course was a lot of good information, but there was a lack of real assignments and tasks. Also, the lab didn't load for me after multiple tries. The section about bias was the best, and it was covered well.

The course has a good flow combination from video to notes, from notes to videos, it has everything needed to really help even those who haven't taken an online course ever in their life, this is definitely the best foundation course for any person passionate about data analytics.