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

Very frustrating assessments, especially on bigquery assignments where I needed to format the code to match what was wanted by Coursera from running code on bigquery. It's really unfortunate that Clinicial Data Science Community is invested in R and not Python.

The examples do NOT work with existing bigquery / Rstudio integration points, I was able to pass the code quiz by guessing what the code should have been based on the examples given, but could not actually test the Rstudio/bigquery integration samples.

there is no enough example or practice exercies to understand and google bigquery cloud data not working

I had hoped some later parts of this course would be a refresher as I have an MS in biomedical informatics and am beginning a new position as a clinical data analyst. However, I will never find out because I am unenrolling after the first set of videos and quizzes. This course uses arbitrary definitions for concepts like "healthcare data science" which can mean a multitude of things and is not inherently focused on financial outcomes as the quiz question in the first section wants you to answer. The course also states things like "deidentified data can't be used to study seasonal allergies because the dates are shifted". Date-shifting is one of MANY methods of de-identifying data and the implication of this statement is that seasonal allergy research can therefore only be completed with data containing protected health information. Really? So yeah, arbitrary definitions, silly grammar mistakes on quizzes, and flat-out incorrect information are the reasons I am not continuing this course and I would advise anyone who does continue to take the information here with a grain of salt.

Link the forum to the section we're on so it decreases the barrier of entry to solving problems. This is not a problem with the course this is a problem with Coursera not developing an intuitive interface that allows users to quickly learn.

the tutorials are outdated, the documentation is not enough when it comes to learning R. if instructions are not clear or updated, it should be removed from the course or atleast mentioned

I cannot access the database on google big query as it no longer exist in the new window format. Total waste of time taking this course as I cannot go forward anymore

The Course is great but the R studio doesn't connect to bigQuery with an authentication error. Struggling for 3 weeks now. So bad.