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
Data Science in Stratified Healthcare and Precision Medicine
Instructors: Dr Areti Manataki
Sponsored by Pontificia Universidad Católica del Perú
29,621 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(330 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 17 hours
Learn at your own pace
97%
Most learners liked this course
Skills you'll gain
- Applied Machine Learning
- Medical Records
- Electronic Medical Record
- Data Analysis
- Network Model
- Data Ethics
- Data Modeling
- Statistics
- Life Sciences
- Health Information Management and Medical Records
- Bioinformatics
- Data Architecture
- Data Governance
- Statistical Modeling
- Image Analysis
- Unstructured Data
- Analytics
- Statistical Analysis
- Data Mining
- Data Science
Details to know
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Assessments
6 assignments
Taught in English
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There are 5 modules in this course
Join us this week to find out how the course works and to try your hand at programming in Python!
What's included
7 videos8 readings1 assignment2 ungraded labs
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!
What's included
9 videos1 assignment1 ungraded lab
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.
What's included
11 videos1 reading2 assignments2 ungraded labs
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.
What's included
9 videos1 reading1 assignment1 ungraded lab
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.
What's included
7 videos4 readings1 assignment1 peer review1 ungraded lab
Instructors
Instructor ratings
4.7 (86 ratings)Offered by
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4.6
330 reviews
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Showing 3 of 330
KP
5
Reviewed on Dec 26, 2022
I am really glad that there is a course like this, and I would like to learn more from lecturers from University of Edinburgh, because it was very nice experience.
KK
5
Reviewed on Dec 13, 2020
It was easy to follow, tasks were interesting yet understandable and pace was okay. I am now interested in continuing my development in this area.
SP
5
Reviewed on Oct 30, 2019
An excellent introduction to Data Science in healthcare!
Recommended if you're interested in Data Science
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