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.
Data Science in Stratified Healthcare and Precision Medicine
Offered By
Data Science in Stratified Healthcare and Precision Medicine
The University of Edinburgh
About this Course
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Learner Career Outcomes
20%
started a new career after completing these courses
14%
got a tangible career benefit from this course
Skills you will gain
Data SciencePython ProgrammingMachine LearningImage Analysis
Learner Career Outcomes
20%
started a new career after completing these courses
14%
got a tangible career benefit from this course
100% online
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Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 18 hours to complete
Suggested: 5 weeks of study, 3-4 hours/week
English
Subtitles: English
Syllabus - What you will learn from this course
5 hours to complete
Welcome to the Course
Join us this week to find out how the course works and to try your hand at programming in Python!
5 hours to complete
7 videos (Total 52 min), 8 readings, 1 quiz
7 videos
About the Course2m
Demystifying Data Science4m
Python Basics Part 19m
Python Basics Part 25m
Professor Andrew Morris12m
Professor Aileen Keel15m
8 readings
Syllabus10m
Course Logistics10m
How to use the Discussion Forums10m
Course Team10m
Acknowledgements10m
Copyright10m
How to use Jupyter Notebooks10m
Programming tips & tricks10m
1 practice exercise
Quiz 120m
2 hours to complete
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!
2 hours to complete
9 videos (Total 53 min)
9 videos
DNA and Sequencing3m
Modelling the Data3m
Conclusion4m
Professor Tim Aitman13m
Professor David Porteous11m
Introduction1m
Medical Imaging Data & Modalities7m
Analysing Medical Images5m
1 practice exercise
Quiz 220m
4 hours to complete
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.
4 hours to complete
11 videos (Total 43 min), 1 reading, 2 quizzes
11 videos
Representing Networks3m
Biological Networks5m
Conclusion2m
Introduction2m
Statistical Methods in Medical Research4m
Conclusion3m
Introduction1m
Supervised Learning10m
Unsupervised Learning5m
Conclusion1m
1 reading
How the Programming Assignment works10m
2 practice exercises
Quiz 320m
Programming Assignment Quiz20m
2 hours to complete
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.
2 hours to complete
9 videos (Total 57 min), 1 reading, 1 quiz
9 videos
Tasks10m
Computational Methods4m
Angus McCann from IBM7m
Introduction2m
Modelling Processes6m
Analysing Processes6m
Process Mining2m
Rodrigo Barnes from Aridhia13m
1 reading
IBM Watson10m
1 practice exercise
Quiz 420m
Reviews
4.6
TOP REVIEWS FROM DATA SCIENCE IN STRATIFIED HEALTHCARE AND PRECISION MEDICINE
by SWJun 7, 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!
by SSMar 11, 2020
This is one of the excellent courses attended by me from Coursera. I am not from medical/healthcare background but got very good information about this domain.\n\nThank you Team
by SHFeb 10, 2019
Great course to get a crash course in the basics of coding applied to this field, a great beginning step that will allow you to find what you would like to specialize in.
by SKDec 26, 2019
good introduction to data sciences from a healthcare perspective\n\ni particularly enjoyed the intro to coding and machine learning,\n\nboth instructors were excellent
by SPOct 30, 2019
An excellent introduction to Data Science in healthcare!\n\nOverall, this course was very knowledgeable, interactive, challenging and fun!\n\nThank you Coursera!
by SRApr 18, 2019
Excellent introduction to use of data science in healthcare with hands-on training in machine learning and NLP. Great course.
by SJAug 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!
by KAJun 26, 2019
A very knowledgeable course that gives insight into the upcoming advances in healthcare with the help of data science.
by DCJun 24, 2018
The course fulfills all my expectations, I'm looking forward to enrolling in a further version of it.
by FAFeb 3, 2019
Great course. It was so intriguing I had to go through the videos non-stop!
by AHMay 29, 2018
Compact course in introducing Precision medicine through Data Science
by BMAug 1, 2018
Very insight full and packs quite the punch in terms of content
by RAAug 16, 2018
A good insight on healthcare perspective of data sciences.
About 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
Frequently Asked Questions
When will I have access to the lectures and assignments?
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.
What will I get if I purchase the Certificate?
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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