Informações sobre o curso: 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
Para quem é direcionado este curso: This course is aimed at learners who are familiar with the basic principles of biomedical and healthcare practice, and who have an interest in data science. Prior knowledge in computer programming or data science is not needed.
Desenvolvido por: Universidade de EdimburgoUniversidade de Edimburgo
Ministrado por: Dr Areti Manataki, Teaching and Research Fellow
Centre for Medical Informatics
Ministrado por: Dr Frances Wong, Data Science MOOC Project Lead
College of Science and Engineering
| Nível | Intermediate |
| Compromisso | 5 weeks of study, 3-4 hours/week |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
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Universidade de EdimburgoUniversidade de Edimburgo
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