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: http://edin.ac/2pn350P
Who is this class for: 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.
Created by: The University of Edinburgh
Taught by: Dr Areti Manataki, Teaching and Research Fellow
Centre for Medical Informatics
Taught by: Dr Frances Wong, Data Science MOOC Project Lead
College of Science and Engineering
| Level | Intermediate |
| Commitment | 5 weeks of study, 3-4 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Welcome to the Course
Join us this week to find out how the course works and to try your hand at programming in Python!
7 videos, 7 readings
- Video: About the Course
- Leitura: Syllabus
- Leitura: Course Logistics
- Leitura: How to use the Discussion Forums
- Leitura: Course Team
- Leitura: Acknowledgements
- Leitura: Copyright
- Video: Demystifying Data Science
- Video: Python Basics Part 1
- Leitura: How to use Jupyter Notebooks
- Bloco de Notas: Python Basics Part 1
- Video: Python Basics Part 2
- Bloco de Notas: Python Basics Part 2
- Video: Professor Andrew Morris
- Video: Professor Aileen Keel
Graded: Quiz 1
WEEK 2
WELCOME TO WEEK 2
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 videos
- Video: DNA and Sequencing
- Video: Modelling the Data
- Video: Conclusion
- Video: Professor Tim Aitman
- Video: Professor David Porteous
- Video: Introduction
- Video: Medical Imaging Data & Modalities
- Video: Analysing Medical Images
- Bloco de Notas: Image Analysis Programming Task
Graded: Quiz 2
WEEK 3
WELCOME TO WEEK 3
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 videos, 1 reading
- Video: Representing Networks
- Video: Biological Networks
- Video: Conclusion
- Video: Introduction
- Video: Statistical Methods in Medical Research
- Video: Conclusion
- Video: Introduction
- Video: Supervised Learning
- Video: Unsupervised Learning
- Video: Conclusion
- Bloco de Notas: Machine Learning Programming Task
- Leitura: How the Programming Assignment works
- Bloco de Notas: Programming Assignment Notebook
Graded: Quiz 3
Graded: Programming Assignment Quiz
WEEK 4
WELCOME TO WEEK 4
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 videos, 1 reading
- Video: Tasks
- Video: Computational Methods
- Bloco de Notas: Natural Language Processing Programming Task
- Video: Angus McCann from IBM
- Leitura: IBM Watson
- Video: Introduction
- Video: Modelling Processes
- Video: Analysing Processes
- Video: Process Mining
- Video: Rodrigo Barnes from Aridhia
Graded: Quiz 4
WEEK 5
WELCOME TO WEEK 5
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 videos, 3 readings
- Video: Graph Data & RDF
- Video: Ontologies & Graph Data Conclusion
- Leitura: SPARQL Querying
- Bloco de Notas: Graph Data Programming Task
- Video: Dr Steve Pavis
- Video: Professor Mark Parsons
- Video: Society, Law and Ethics
- Leitura: General Data Protection Regulation (GDPR)
- Leitura: Research Ethics
- Video: Course Conclusion
Graded: Quiz 5
Graded: Final Course Assessment
FAQs
How It Works
Trabalho
Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.
Ajuda dos seus colegas
Conecte-se com milhares de outros aprendizes, debata ideias, discuta sobre os materiais do curso e obtenha ajuda para dominar conceitos.
Certificados
Obtenha reconhecimento oficial pelo seu trabalho e compartilhe seu sucesso com amigos, colegas e empregadores.
Creators
The University of Edinburgh
Influencing the world since 1583, The University of Edinburgh is consistently ranked as one of the world's top 50 universities. Today, we are an established and global leader in online learning, providing degree-level education to 3,000 online students in addition to 36,000 students on-campus. We also offer a wide range of free online courses in a variety of subjects. To find out more about studying for one of our online degrees, search for ‘Edinburgh online’ or visit www.ed.ac.uk
Ratings and Reviews
Coursera provides universal access to the world’s best education,
partnering with top universities and organizations to offer courses online.
© 2018 Coursera Inc. All rights reserved.
