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
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Data Science in Stratified Healthcare and Precision Medicine
Instructors: Dr Areti Manataki
31,755 already enrolled
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Gain insight into a topic and learn the fundamentals.
341 reviews
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
97%
Most learners liked this course
Skills you'll gain
- Machine Learning
- Precision Medicine
- Network Model
- Data Ethics
- Process Modeling
- Natural Language Processing
- Image Analysis
- Probability & Statistics
- Clinical Documentation
- Bioinformatics
- Data Analysis
- Statistical Modeling
- Applied Machine Learning
- Machine Learning Methods
- Health Informatics
- Statistical Methods
- Data Science
- Medical Imaging
- Biostatistics
Tools you'll learn
Details to know
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Taught in English
91% of learners achieved a positive career outcome
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There are 5 modules in this course
Instructors
Instructor ratings
(88 ratings)Offered by
Explore more from Data Analysis
University of California, Davis
Northeastern University
University of Illinois Urbana-Champaign
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Showing 3 of 341
SP
Reviewed on Oct 30, 2019
An excellent introduction to Data Science in healthcare! Overall, this course was very knowledgeable, interactive, challenging and fun!Thank you Coursera!
TM
Reviewed on Jul 27, 2022
A good introduction and overview to precision medecine and stratified healthcare.
HA
Reviewed on Sep 7, 2023
great course, I enjoy the most the talk between the course instructors and the doctors
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