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March 17, 2025
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Instructors: Dr Areti Manataki
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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
Join us this week to find out how the course works and to try your hand at programming in Python!
7 videos8 readings1 assignment2 ungraded labs
This week you will be introduced to Sequence Processing and Medical Image Analysis. Explore the course materials to find out about recent advances in these areas and how they contribute to Precision Medicine!
9 videos1 assignment1 ungraded lab
This week you will learn about Probabilistic and Network Modelling, and how they are applied to biomedicine. You will also be introduced to Machine Learning and explore the opportunities it brings to the medical field.
11 videos1 reading2 assignments2 ungraded labs
This week you will discover how clinical notes and other free-form text can be analysed with the use of Natural Language Processing techniques. You will also find out how Process Modelling can help us understand, stratify and improve healthcare processes.
9 videos1 reading1 assignment1 ungraded lab
In this final week of the course you will learn how the Graph Data model allows for effective linkage of different data in the life sciences. You will also explore societal, legal and ethical implications of precision medicine and stratified healthcare.
7 videos4 readings1 assignment1 peer review1 ungraded lab
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Edinburgh. Extraordinary futures await. Ranked in the top 50 universities in the world, the University of Edinburgh has been a leader in digital education since the earliest days of online learning. Embracing the technological and pedagogical opportunities of our digital age, the University provides an outstanding online distance learning experience as part of our commitment to making learning accessible to all. Whatever excites you, whatever your ambition, whatever makes you ‘you’, we know one thing; nothing ordinary comes from this extraordinary place.
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Reviewed on Apr 6, 2023
Excellent introduction to this sector. Many varied subjects with a good mix of theory/practice
Reviewed on Oct 30, 2019
An excellent introduction to Data Science in healthcare! Overall, this course was very knowledgeable, interactive, challenging and fun!Thank you Coursera!
Reviewed on Aug 31, 2018
One of the great course I have ever done through coursera! Thank you to Dr.Wong and Dr.Areti for their great contribution!
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