Edin - Data Science in Stratified Healthcare and Precision Medicine
- Offered byCoursera
Data Science in Stratified Healthcare and Precision Medicine at Coursera Overview
Duration | 17 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Science in Stratified Healthcare and Precision Medicine at Coursera Highlights
- 12% started a new career after completing these courses.
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Data Science in Stratified Healthcare and Precision Medicine at Coursera Course details
- 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
Data Science in Stratified Healthcare and Precision Medicine at Coursera Curriculum
Welcome to the Course
Welcome to the Course
About the Course
Demystifying Data Science
Python Basics Part 1
Python Basics Part 2
Professor Andrew Morris
Professor Aileen Keel
Syllabus
Course Logistics
How to use the Discussion Forums
Course Team
Acknowledgements
Copyright
How to use Jupyter Notebooks
Programming tips & tricks
Quiz 1
WELCOME TO WEEK 2
Introduction
DNA and Sequencing
Modelling the Data
Conclusion
Professor Tim Aitman
Professor David Porteous
Introduction
Medical Imaging Data & Modalities
Analysing Medical Images
Quiz 2
WELCOME TO WEEK 3
Introduction
Representing Networks
Biological Networks
Conclusion
Introduction
Statistical Methods in Medical Research
Conclusion
Introduction
Supervised Learning
Unsupervised Learning
Conclusion
How the Programming Assignment works
Quiz 3
Programming Assignment Quiz
WELCOME TO WEEK 4
Introduction
Tasks
Computational Methods
Angus McCann from IBM
Introduction
Modelling Processes
Analysing Processes
Process Mining
Rodrigo Barnes from Aridhia
IBM Watson
Quiz 4
WELCOME TO WEEK 5
Introduction
Graph Data & RDF
Ontologies & Graph Data Conclusion
Dr Steve Pavis
Professor Mark Parsons
Society, Law and Ethics
Course Conclusion
SPARQL Querying
General Data Protection Regulation (GDPR)
Research Ethics
Quiz 5
Data Science in Stratified Healthcare and Precision Medicine at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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