4.6
stars
255 ratings

Dr Areti Manataki +1 more instructor

18,731 already enrolled

Offered By

Data Science in Stratified Healthcare and Precision Medicine

The University of Edinburgh

About this Course

20,217 recent views

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

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 17 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Skills you will gain

Data Science
Python Programming
Machine Learning
Image Analysis

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 17 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Instructors

Instructor rating

4.75/5 (58 Ratings)

Dr Areti Manataki

Teaching and Research Fellow

Centre for Medical Informatics

434,842 Learners

4 Courses

Dr Frances Wong

Data Science MOOC Project Lead

College of Science and Engineering

18,731 Learners

1 Course

Offered by

The University of Edinburgh

Since 1583 the University of Edinburgh has been at the forefront of innovation in education and research. Ranked 20th in the world, we have been an international leader in online learning since our first online degree launched in 2005. As part of our commitment to making learning accessible to all, we offer free courses in a variety of subjects including philosophy, health, animal welfare and STEM courses, all designed to build the skills of the global community.

Syllabus - What you will learn from this course

Content Rating96%(2,514 ratings)

Week

Week 1

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

Week

Week 2

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)

Week

Week 3

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

Week

Week 4

3 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.

3 hours to complete

9 videos (Total 57 min), 1 reading, 1 quiz

Reviews

4.6

64 reviews

5 stars
69.76%
4 stars
24.03%
3 stars
3.10%
2 stars
1.93%
1 star
1.16%

TOP REVIEWS FROM DATA SCIENCE IN STRATIFIED HEALTHCARE AND PRECISION MEDICINE

by TJJun 26, 2022

Excellent and well organized course pattern with excellent presentation

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 SPOct 30, 2019

An excellent introduction to Data Science in healthcare! Overall, this course was very knowledgeable, interactive, challenging and fun!\n\nThank you Coursera!

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!

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Data Science in Stratified Healthcare and Precision Medicine

Data Science in Stratified Healthcare and Precision Medicine

About this Course

Skills you will gain