Data Science in Stratified Healthcare and Precision Medicine
About this Course
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:Created by: The University of Edinburgh

Related Online Courses
A newborn baby is an amazing beautiful life filled with hope. Unfortunately, many babies die or experience preventable harm even in 21st century. It is imperative that babies who are born healthy... more
This course offers a deep dive into Linux troubleshooting, focusing on practical, real-life scenarios to prepare you for the challenges you may face in the field. Starting with an introduction to... more
Business Interviews: Communication, Research & Tips is a concise yet comprehensive course designed to equip learners with the essential skills and knowledge to excel in the interview process. From... more
Welcome to the Security & Automation course! The \'Security & Automation in Salesforce App Builder\' course is designed to equip Salesforce professionals with advanced skills in securing Salesforce... more
This course introduces students to marketing analytics through a wide range of analytical tools and approaches. We will discuss causal analysis, survey analysis using regression, textual analysis... more