Too many obvious information for a person who has prior experience with data. Please cut the course short for those who already have grip over these concepts. Anyways, it is helpful and great.

There is no alternative to discuss doubts with anyone except for discussion board which is not that interactive as well. Many doubts and many queries remain unanswered. Course is good so far.

This course was good but not as well as the former courses, because it was so simple and doesn't teach useful things for data science mostly.

Thank you Coursera and Google for your support!

This third Course represents a forest of learning: very good. Had trouble updating dates, because it made me miss the progress made on homework and knowledge tests in the first few weeks

​please teach about Github and kaggle. I personally found a difficult, apart from that the optional week five who was fantastic I learnt so much. Thank you so much Google and Coursera

Overall a great course, meaningful overview on theories about data preparation. It could have gotten 5 stars if it had more hands-on practical exercises on SQL included in the course.

Very succint layout of the course, the only drawback is the lack of more clarity on the steps in using the Google Cloud Platform to practise BigQuery for the projects in the course.

excelled course, possibly more practice or videos of queries - step by step. How to best check for errors, etc. I could be missing something and will go back and review as well.

SQL could've been better, Overall the course was really nice but SQL was difficult to setup(payment options*) and the activity of SQL should've been more diversified(commands).

The course is outstanding, of course there is always room for improvement. Like noting importing subjects in bullet forms. It will be easier to make and take notes that way.

Amazing, the explications & exemples are too clear. I'm french native but it have been so easy for me to understand this course without loosing time on reading subtitles.

I​ntro to Kaggle content seems misordered, which overwhelmed me. I trust it will come together once we dive into the course on R. Other than that, lots of great info!

I think i might've notice an error in week 1 : Differentiating data types matching task. There's is a repitation of one of the options on the first slide. Thank you.

The instructor could be more "connected" to the camera... it doesn't seem as connected to the student as some of the other instructors in this certification program.

There was a lot to learn and take in. The theoretical information was manageable but needed more time and experience with the tutorials, practices and challenges.

This class was the most challenging (and rewarding) of the three taken so far. Do click on the recommended reading and get familar with kaggle and Big Query.

C​ourse is amazing . Only few things as Cert. sharing link doesnt work. also few datasets in Bigquery do not link or not work, have to explore more datasets.

I have only concern about the course is making the reading part brief and increase the video. Reading part sometime makes bore. Overall great course to take.

This course can be considered as step by step guide to one of the main process about the data analysis. Everything is well explained and in good progression.

Great presentation and step by step process so easy to understand and follow even to a complete newbie like me. I enjoyed every video and the exercises.

Well tailored. One topic focused on a social networking, which I consider as a pros! Anyway I thought that this course will be more around hard-skills.

It was insightful and high quality course. I've learned a lot about gathering reliable data. It would be perfect if course included more SQL exercises.

Big Query was a challenge, but SQL is one of those skills that requires lots of practice with different datasets to build your skill level over time.

This course was very informative. Introduced a lot of more challenging concepts that went well with the information garnered in the previous courses.

The BigQuery Sandbox interface we used was not easiest to work with and often didn't look like what instructor was using/sharing in the videos.