Content is great! 5 stars for it. The assessment could be improved as the automated answers in some assignments are marked wrong and the course grades it wrong even if a right answer is given. Deducted 1 star just for this bug. Otherwise the content and the practice assignments and hands on experience is fantastic.

A good start to fundamentals of clinical data science. It lays the foundation for more advanced topics. The MIMIC3 data is an excellent example of real life like health data. The quiz assignments are of very good standard. You will need to work out thoroughly to pass them.

Some material is inconsistent between the lectures and quizzes. Syntax of BigQuery does allow distinct queries, which was stated otherwise in the course material. Overall the content was good and was a nice introduction to the MIMICIII dataset.

A good introduction to clinical data science course and useful for those who wants to tap into the field. However, prior knowledge of R is required as some concepts/functions are not fully explained in the course.

I really enjoyed everything in this class, I really loved it. It was an accumulation of new skills all along, almost everything was new to me: Google BigQuery, SQL, R language etc. Thank you for this opportunity!

The course is great overall. But when it comes to teaching SQL and R, there is too much to learn with just a few explanation. It is not easy for those who do not have background knowledge on those.

This was a good general overview however there should have been more of a practice task based system when it came to the coding or make the coding a different segment altogether

A good overview of Clinical Data Science. The reading material covering SQL and R coding was cumbersome, difficult to follow, and did not contain any lectures.

I found Rstudio very confusing as there was no proper introduction or hands on example. Took a great deal in going through the links and addressing.

Weeks 1-3 were great. Nicely structured and easy to understand.W eek 4 seems a bit packed with lots of information. Enjoyed learning the course

RStudio didn't connect to G.bigquery. But the course is very good for learning and getting overview of the data science techniques.

first week was very USA centeric. even though similar principles apply in other countries.

Good intro to the field, but should spend more time and provide further reference to R.

Good introduction to see if you want to progress through the rest of the program

excellent course, but couldn't connect to online datasets to run queries

Solid and interactive introduction to SQL and basic R-SQL interactions.

It would be clearer if some programming examples can be shown in video

Reconnection to sessions in RStudio was somewhat challenging.

Good short introductory course. Clearly taught and scheduled.

Excellent for beginners

Learned quite a lot. The SQL section is very well done. Informative and easy to follow and learn from. The R section is very difficult. I had done the ''Getting started with R'' course before, which was great, but I was still lost when it came to understanding part of this course. All in all, everything is feasible but required more time (week 4 was loooongg!) for me than expected.

This course assumes you know R and at least an intermediate level of SQL. The answers for the quizzes and Assessments are not all covered in the course lectures. You need to follow and read all the links. (A few of the links are 404.)

It seems like some of the screenshots from this course have not been updated for a long time and can cause confusion when trying to follow the steps of the related materials.

Alright course as introduction to clinical data science. Still a lot information. Could be better by having more practice exercises with programming.

More practice is needed