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.

Quite nice, my only complaints were that the examples regarding Google Cloud/BigQuery were outdated. This wouldn't be too much of an issue were both platforms not created/endorsed by Google.

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.

Les cours est fantastiques mais je trouve le professeur qui a un rythme très accéléré en parlant. je suis francophone et j'essaye de faire un effort pour le suivre.

En general, c'etait super.

It's a really interesting course, I enjoyed it, I sincerely learnt a lot from it😋😋, I thought it was going to dig deeper into SQL, well, let's see the next step of analysis - Processing🔥

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!

Getting in Depth and Learning a lot about the ways to explore new Data and how does Big Query and other tools of SQL work. Getting introduced to Excel and its importance in handling Data.

I had some issues using BigQuery as certain sections continued to error out. If I wasn't already familiar with SQL queries I would have had a difficult time with this part of the course.

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.

While the content is great learning and useful, the week three was brutally long and not sure why some of its contents was not pushed into say week 4 which seemed shorter compared.

Course contents were well described, Course Instructor throughout explained very well. Just Week 3 was little lengthy. In SQL portion some of the SQL queries were explained nicely.

A massive improvement over the first two courses in this specialization. Finally we learn something substantial. And Hallie is the best teacher so far and also hilarious at times.

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.

I think Mod 3 needs some adjusting, there were a lot of parts that assuming the student had prior knowledge to coding and it make it harder to understand certain sections.

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 like the content, but there are some bugs with the system. Several times my course progress was lost. The help center was always able to recover my history, though.

Thanks to the instructor. I've gained a lot from Preparing data (data security, data structure, data organization and SQL/Kaggle are really interesting topics for me)

Intro 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!

This was concise and to the point fairly easy to grasp if taken in chronological order much easier than ibm in so far as explaining interactive application elements.

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.