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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

4.6
194 個評分
55 條評論

課程概述

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: http://edin.ac/2pn350P...

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SW
2018年6月7日

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!

NC
2020年11月2日

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.

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51 - Data Science in Stratified Healthcare and Precision Medicine 的 55 個評論(共 55 個)

創建者 Spencer H

2019年2月11日

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.

創建者 David A

2019年4月26日

Overall a good introductory course to Data Science in Stratified Healthcare and Precisi

創建者 Rimjhim A

2018年8月17日

A good insight on healthcare perspective of data sciences.

創建者 Gaibura A

2019年7月15日

Peer-graded Assignment took so long

創建者 Dr D S

2020年5月24日

Free but no certificate