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.

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.

Here, I learned how to explore and prepare the data and how we can implement in the spreadsheet along with filtering, sorting) and Structured Query Language also...

It's really interesting and I learnt a lot. I would say it gives you all the ideas and then you need to put in your effort to learn more. Needs a lot of practice.

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.

The course was well-structured, and the concepts were clearly described. One suggestion that might help future learners, go into the details of BigQuery and SQL.

Working with BigQuery is very fun, This course gives practical assignments which I found great for the improvement of my knowledge and a better way of studying.

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.

So far, I'm learning a lot. The only complaint I have is that there are too many talking head videos that seem more like filler than actual learning content.

Course 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.

Really easy to understand for beginners, Coursera and Google did a beautiful job here, a must course for people who aspire to become a junior data analyst.

Learned to use SQL to find in-depth information. In what we find from public information which is useful to use It gives you more perspective on the data.