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
31,769 already enrolled
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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
- Data Analysis
- Natural Language Processing
- Medical Imaging
- Machine Learning
- Applied Machine Learning
- Biostatistics
- Precision Medicine
- Network Model
- Image Analysis
- Health Informatics
- Data Ethics
- Bioinformatics
- Clinical Documentation
- Statistical Modeling
- Statistical Methods
- Process Modeling
- Data Science
- Machine Learning Methods
- Probability & Statistics
Tools you'll learn
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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
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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!
SR
Reviewed on Apr 18, 2019
Excellent introduction to use of data science in healthcare with hands-on training in machine learning and NLP. Great course.
KK
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.
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