SW
Jun 7, 2018
Great course, really well designed and well produced and I feel like I've learned a lot! The coding was a bit of a shock to the system but it was nice and challenging. Thank you to the team!
ZC
Nov 2, 2020
This is the first course I have ever done on course. I enjoyed the course thought out the weeks, Highly recommended if anyone is interested in stratified healthcare and precision medicine.
By Carlos V
•Dec 13, 2018
It's a great course to get familiar with the key areas that concern Stratified Healthcare, Precision Medicine and biomedicine data management in general. I wish there were a specialised course on these matters!
By Thomas M
•Jul 28, 2022
A good introduction and overview to precision medecine and stratified healthcare. Even if the interview are a bit out-of-date, the main idea and problematic are still appicable nowadays.
By Spencer H
•Feb 11, 2019
Great course to get a crash course in the basics of coding applied to this field, a great beginning step that will allow you to find what you would like to specialize in.
By David A
•Apr 26, 2019
Overall a good introductory course to Data Science in Stratified Healthcare and Precisi
By Dr. R A
•Aug 17, 2018
A good insight on healthcare perspective of data sciences.
By Gaibura A
•Jul 15, 2019
Peer-graded Assignment took so long
By Ghazaleh E
•Dec 27, 2022
Pros:
- It was useful to learn some keywords in data science.
- helpful to play with basics of python.
- helpful to see how python helps manage data.
Cons:
- it was distracting to see the lecturers in the video. It would have been helpful if they were just voice overs. It would have helped photographic memory if they replaced having themselves in the video with images of pathways, or even simple slides with words instead.
- interviews with faculty members were interesting but were time-dependent. Meaning some of those projects are not longer operational due to lack of funding or other reasons.
- The topics seemed disconnected and confusing.
- the course objective was not unified and it seemed disconnected themes wee merged into one course. One theme taught by each lecturer.
By iv�n b b
•Feb 2, 2024
The content of the course is good, it could be more practical and use data science in simulations of real projects, since it says it is an intermediate course. What does work badly is that it's been 5 days and my assignment still hasn't been reviewed, which is a bit frustrating.
By Christian B
•Nov 29, 2020
overall course is way too shallow. coding examples are a joke.
By Dr D S
•May 24, 2020
Free but no certificate
By Mohamed A
•Jul 11, 2023
It's a great course for healthcare professionals who want to be introduced into how data-science works and what it's going to transform the healthcare industry. The course hosts some of the brightest minds working on precision medicine and teaches you how to get your hands dirty with beginner data-science code and problem solving. Definitely recommended and I really hope for a coursera specialization after this wonderful introduction.
By Imam U A
•Dec 18, 2023
Great course for those who have a wider interest in the Healthcare domain from a Data science perspective. This is one of the courses which I completed most of the weekly allocated tasks/learning well before the timeline. Highly recommending. Thanks to the University of Edinburgh & Coursera for this impressive course. This will definitely help me do research work on medical image analysis along with NLP techniques.
By Max R
•Sep 9, 2024
I was impressed by this course! I loved how it provided discussion of the theories but also included (non optional!) practical python programming--to which i was totally new. Despite the challenge, it was very interesting and gives an appreciation how the data analysis challenge that data scientists/ML engineers face with complex, multimodal data in healthcare. I totally recommend taking this course.
By DDSharma
•Feb 26, 2023
The lectures are superb. The guest interviews are pretty meaningful and in a true sense like a practical real-world case studies. The progress in this field and its enabling technologies is happening rapidly. I wish they would come up with an updated version.
By Nurien Z
•Oct 23, 2024
i thoroughly enjoyed learning new skills with this course, it would have not been possible without these great tutorials and lab assignments. Also the teachers and their mode of teaching was comprehensible. Their dedication is commendable. thanks very much.
By Han
•May 22, 2023
A very good introduction to computer scientist, AI practitioner or just anyone who is interested in the application of data science in the healthcare industry. Enjoyed this course very much and learned a lot!
By Neelkant N
•Apr 11, 2020
The course open a wide understanding over the use of Data science in Healthcare. This course is just for basic understanding. More you practice more you get.
By Sushma P
•Oct 31, 2019
An excellent introduction to Data Science in healthcare!
Overall, this course was very knowledgeable, interactive, challenging and fun!
Thank you Coursera!
By Kaspar K
•Dec 14, 2020
It was easy to follow, tasks were interesting yet understandable and pace was okay. I am now interested in continuing my development in this area.
By Martin B
•Oct 2, 2023
Really interesting and challenging perspective on the possibilities of modern Data Science and Healthcare. I am glad I partook in this course!
By Murali P
•Nov 19, 2020
Excellent course and relevant content. I have been looking for something of this type for months now. Very happy with the learning
By Morgan
•Nov 25, 2020
Very good course, both "teachers" take the time to explain each aspect and make this course very interesting and easy to follow.
By SANDEEP R
•Apr 19, 2019
Excellent introduction to use of data science in healthcare with hands-on training in machine learning and NLP. Great course.
By Качесова Г С
•Jun 25, 2021
It was so interesting! I grateful to mentors for this course. I would like to futher study medicine and data science.
By Emiel v T
•Jul 27, 2020
Excellent course with two top instructors. Challenging content and nice variation in working methods. Thank you!