Very good

Loved it

good

This course is a great intro to Clinical Data Science. I found some spelling/grammatical errors in the readings/quizzes. Also, I struggled a bit with some of the answers/writing the correct code; in these rare instances, I would look at the hint after and have no idea how I was supposed to know that. For example, I was having trouble mutating a column, and it turns out I was supposed to use the collect() function before mutation(). I don't mind googling and figuring things out on my own; in fact, it is a critical skill for an analyst, but in an educational format, I wish they had brought up these functions in the reading.

There's something you should know before starting the course:

It is a very good entry-level resource if you want to have a basic understanding of the clinical systems and data sources. If you have no experience in SQL, it will give you good instruction to understand some basic queries.

However, this course requires you to have a foundation in R programming and will not provide much guidance to it. It will be kind of hard to do the tests without some basics.

Make good use of the sample data this course provides!

Overall very good. The instructor was clear and lectures were great. The introduction to R and Tidyverse was a little challenging in a reading format...if I had not had experience programming in SAS (limited albeit), I probably wouldn't have made it through the 4th module without additional resources. This is a lot of information and overall it was well organized, I'm really not sure how I would present it any differently.

Everything was very nice! I liked that we were taught SQL and allowed to practice it via hand-on application on Google BigQuery. However, I found that in 2024 R programming is not relevant that much anymore as the same things can be done in VisualStudio in Python Notebooks. Nevertheless, a very nice course, would recommend anyone interested in clinical data science to take it!

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.