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

100% online

Start instantly and learn at your own schedule.

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

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

Start instantly and learn at your own schedule.

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

Week
1

Week 1

5 hours to complete

Welcome to the Course

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
Week
2

Week 2

2 hours to complete

WELCOME TO WEEK 2

2 hours to complete
9 videos (Total 53 min), 1 quiz
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
Week
3

Week 3

4 hours to complete

WELCOME TO WEEK 3

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
Week
4

Week 4

2 hours to complete

WELCOME TO WEEK 4

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
4.6

27 Reviews

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Top reviews from Data Science in Stratified Healthcare and Precision Medicine

By 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!

By SKDec 27th 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

Instructors

Image of instructor, Dr Areti Manataki

Dr Areti Manataki

Teaching and Research Fellow
Centre for Medical Informatics
Image of instructor, Dr Frances Wong

Dr Frances Wong

Data Science MOOC Project Lead
College of Science and Engineering

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

  • 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.

More questions? Visit the Learner Help Center.