MK
21 de jul. de 2019
Great course, gives a solid understanding of computational phenotyping. Also teaches some R programming!
AB
12 de may. de 2019
This is a well-presented course. I highly recommend.
por rroddema
•20 de sep. de 2019
I am simply not able to finish the course because no peer reviewers available.
Not sure who is responsible but as a student I do not care.
Please stop asking money when you cannot deliver.
Course content is very good.
por Vu T T T
•15 de sep. de 2019
A good course on identifying patient populations with R. However, some concepts/use of functions in R programming do not get fully-explained and needs learnt from other sources.
Courses 4, 5 and 6 are not available so cannot complete the entire specialization.
por Nicholas S
•14 de mar. de 2020
Don't believe what coursera says
Coursera advertised the course as "at your own place" what a lie. After completing the course I had to pay another $100 just to wait for the final assignment to be marked to get my certificate.
The courses for the specialisation keep getting pushed back, so you have to shell out a subscription for another month while you wait for them to come out.
I've spent far more time paying just to wait than actually doing any of the course materials.
por Deependra S
•20 de jun. de 2020
Good course with details on each and every steps we perform to build and case and control cohorts to test clinical hypothesis in space of diagnosis,prognosis or treatment. Thanks a lot for helping us to learn and upgrade in short period of time.
por Mor K
•22 de jul. de 2019
Great course, gives a solid understanding of computational phenotyping. Also teaches some R programming!
por Kazuki Y
•23 de sep. de 2019
Good course material for studying patient selection methods.
por qianmengxiao
•19 de jun. de 2019
excellent course.
The first MOOC on computational pheonotying
por Angela B
•13 de may. de 2019
This is a well-presented course. I highly recommend.
por William H
•5 de abr. de 2019
The instructor does a great job of providing hands-on teaching in addition to lecture. However, this course required a lot of knowledge of R, which wasn't provided in the introductory course.
por Fidel G
•12 de dic. de 2019
Great overview of how to identify Patient Population and the in and out of what to look for when you are thinking about your potential research project will involve.
por Edgar Q
•19 de may. de 2022
Do not take. There is no student population in this course and you could be waiting near a month for your final assignment to be graded