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This course will teach you about the various types of data and computational methods used in stratified healthcare and precision medicine. You will gain practical experience working with such data. You will also learn about successful case studies from industry leaders.
Syllabus :
- Demystifying Data Science
- Python Basics
- Professor Andrew Morris
- Professor Aileen Keel
- DNA and Sequencing
- Modelling the Data
- Professor Tim Aitman
- Professor David Porteous
- Medical Imaging Data & Modalities
- Analysing Medical Images
- Representing Networks
- Biological Networks
- Statistical Methods in Medical Research
- Supervised Learning
- Unsupervised Learning
- Tasks
- Computational Methods
- Angus McCann from IBM
- Modelling Processes
- Analysing Processes
- Process Mining
- Rodrigo Barnes from Aridhia
- Graph Data & RDF
- Ontologies & Graph Data Conclusion
- Dr Steve Pavis
- Professor Mark Parsons
- Society, Law and Ethics
