À propos de ce cours
4.6
18 ratings
7 reviews
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...
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Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Intermediate Level

Niveau intermédiaire

Clock

Recommandé : 5 weeks of study, 3-4 hours/week

Approx. 16 heures pour terminer
Comment Dots

English

Sous-titres : English

Compétences que vous acquerrez

Machine LearningPython ProgrammingImage AnalysisNatural Language Processing
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Intermediate Level

Niveau intermédiaire

Clock

Recommandé : 5 weeks of study, 3-4 hours/week

Approx. 16 heures pour terminer
Comment Dots

English

Sous-titres : English

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
6 heures pour terminer

Welcome to the Course

Join us this week to find out how the course works and to try your hand at programming in Python!...
Reading
7 vidéos (Total 52 min), 8 lectures, 1 quiz
Video7 vidéos
About the Course2 min
Demystifying Data Science4 min
Python Basics Part 19 min
Python Basics Part 25 min
Professor Andrew Morris12 min
Professor Aileen Keel15 min
Reading8 lectures
Syllabus10 min
Course Logistics10 min
How to use the Discussion Forums10 min
Course Team10 min
Acknowledgements10 min
Copyright10 min
How to use Jupyter Notebooks10 min
Programming tips & tricks10 min
Quiz1 exercice pour s'entraîner
Quiz 120 min

2

Section
Clock
2 heures pour terminer

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!...
Reading
9 vidéos (Total 53 min), 1 quiz
Video9 vidéos
DNA and Sequencing3 min
Modelling the Data3 min
Conclusion4 min
Professor Tim Aitman13 min
Professor David Porteous11 min
Introduction1 min
Medical Imaging Data & Modalities7 min
Analysing Medical Images5 min
Quiz1 exercice pour s'entraîner
Quiz 220 min

3

Section
Clock
4 heures pour terminer

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....
Reading
11 vidéos (Total 43 min), 1 lecture, 2 quiz
Video11 vidéos
Representing Networks3 min
Biological Networks5 min
Conclusion2 min
Introduction2 min
Statistical Methods in Medical Research4 min
Conclusion3 min
Introduction1 min
Supervised Learning10 min
Unsupervised Learning5 min
Conclusion1 min
Reading1 lecture
How the Programming Assignment works10 min
Quiz2 exercices pour s'entraîner
Quiz 320 min
Programming Assignment Quiz20 min

4

Section
Clock
2 heures pour terminer

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....
Reading
9 vidéos (Total 57 min), 1 lecture, 1 quiz
Video9 vidéos
Tasks10 min
Computational Methods4 min
Angus McCann from IBM7 min
Introduction2 min
Modelling Processes6 min
Analysing Processes6 min
Process Mining2 min
Rodrigo Barnes from Aridhia13 min
Reading1 lecture
IBM Watson10 min
Quiz1 exercice pour s'entraîner
Quiz 420 min
4.6

Meilleurs avis

par SWJun 8th 2018

Great course, really well designed and well produced and I feel like I've learned a lot! The coding was a bit of a shock to the system but it was nice and challenging. Thank you to the team!

par DCJun 25th 2018

The course fulfills all my expectations, I'm looking forward to enrolling in a further version of it.

Enseignants

Dr Areti Manataki

Teaching and Research Fellow
Centre for Medical Informatics

Dr Frances Wong

Data Science MOOC Project Lead
College of Science and Engineering

À propos de 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/studying/online-learning/postgraduate ...

Foire Aux Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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