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學生對 爱丁堡大学 提供的 Data Science in Stratified Healthcare and Precision Medicine 的評價和反饋

99 個評分
27 條評論


An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. And you will learn from leaders in the field about successful case studies. Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data. Watch the course promo video here:



Jun 08, 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!


Dec 27, 2019

good introduction to data sciences from a healthcare perspective\n\ni particularly enjoyed the intro to coding and machine learning,\n\nboth instructors were excellent


26 - Data Science in Stratified Healthcare and Precision Medicine 的 27 個評論(共 27 個)

創建者 Gaibura A

Jul 15, 2019

Peer-graded Assignment took so long

創建者 Jonathan G

May 06, 2018

the assignment was totally confusing. The final project had nothing to do with what was being covered in the course.