Data Science in Stratified Healthcare and Precision Medicine / Edinburgh University

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Level of prior knowledge required in AI: Connaissances intermédiaires

Level of prior knowledge required in health: Aucune connaissance préalable

Language: Français, Anglais

Durée: Plus de 6 heures

Accessibility: Accès et certification gratuit

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
  • (viii) Graph Data.

Watch the course promo video here: http://edin.ac/2pn350P https://www.coursera.org/learn/datascimed/home/welcome