The course gives an introduction to basic statistics commonly used in medicine/public health. The key concepts are explained clearly and provide a good foundation. However, there are few lectures (mostly reading material) and many tests are "check yourself" ones. The course would benefit if current reading material was given in lectures (as it is mostly words) and the more advanced reading material was included with more formal/mathematical description of the concepts.

This course started well, but when it had to dig into explaining statistical analysis or R codes it left the explanation to LOTS of reading material rather than videos. I could have just read a book of statistics rather than enrolling in this course.

Not a very educational course all n all. Mostly for someone with previous knowledge on the matter.

I expected much more work on R plus barely any of the syntax worked on my Mac.

The instructor videos are amazing- very relatable, applicable, and comprehensible! The principles are simplified as best as possible. This courses also good if you are very new to R.

Could be way better. AP level statistics should be recommended before starting this course.

This is the best course among all I've taken..

The instructor has presented the content precisely.

I highly recommend to those who are looking to explore R in the field of health

Learned a lot! The structure of the course was very logical and manageable. Will be continuing with the rest of the courses in the Specialization.

I like this professor. His interesting teaching style is like Professor Attenborough you see on BBC Earth. He will bring up an issue and give you just enough information so that I can go about researching this on Google, Youtube, and other lectures on Coursera. He is good for professionals not liking a rigid educational format.

Was a very nicely done and clear course to build or re-build foundation for most common statistical concepts and an intro to using R via R-Studio for your work with them on the basics.

Brilliant!! Simply brilliant. Alex is superb. You cant understand statistics better anywhere in the world other than this course. This is an essential course for anyone into clinical research or anyone doing their Phd's in Biological sciences or having an interest in science journalism. I urge all of you to take this course. This is more than an introduction to statistics.

Thanks Alex!! You are great at teaching& communicating statistics. Hope to meet up with you someday. Take care and I am going forward with the entire specialization.

I will definitely recommend anyone to undergo the materials provided from Imperial faculty to hone statistical reasoning skill and enhance problem solving capacity. Indeed a organized and effective course after a bit long time.

This course is amazing for candidates looking to gain a fundamental understanding of Public Health Research. The videos are very educative and the assignments are crucial to having a firm grasp of the topics that are taught.

I found this data very interesting and useful learnt very new sets of skills and will carry on in this topic.

This was a great introduction. to statistics in public health. Thanks!

I came from a background of medical science. I have grip over basic concepts of Statistics as well as some stat softwares for inferential stats. What I lacked was programming background. I wanted to learn R but was always afraid of R. This course made it all seem so easy and enjoyable that I learned it all in less than a month.

I have taken some other courses on Coursera, on Udemy too but all seemed too distant from what I required, ie R from biostat perspective and from scratch. This course provides you exactly. I liked this course so much that I have taken other specializations from Imperial as well and it made me interested in Imperial's MPH as well.

Thank you all the instructors, Dr.Bottle and the team for designing such an amazing coursework in such a way that it motivates you itself to reach higher and make another milestone. And for making such a difficult coursework so much easier for a person from non-mathematical background, And thank you coursera for bringing all of this to us. I remain indebted to all of you for granting me this skill.

This course has a great content. R programming is a excellent tool for analyze data in public health. Each one of the videos is excellent to understand the conceptual framework and eventually apply those knowledges in R language.

Fantastic resource for novices and people with bit more statistical experience (like myself). Really enjoyable and moves at a really good pace. I learnt a lot and was able to refine my statistical skills

This course is an excellent introduction to statistical analysis in public health. In addition, the course provides a useful start to the application of R in statistical analysis.

Excellent course with really good teaching. Felt like it developed a good grounding in the basic topics. Would recommend having a little R experience prior to taking this course.