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
31,751 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
- Medical Imaging
- Health Informatics
- Biostatistics
- Natural Language Processing
- Process Modeling
- Probability & Statistics
- Clinical Documentation
- Network Model
- Machine Learning Methods
- Data Ethics
- Data Analysis
- Bioinformatics
- Image Analysis
- Precision Medicine
- Data Science
- Applied Machine Learning
- Statistical Modeling
- Statistical Methods
- Machine Learning
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!
SW
Reviewed on Jun 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!
MP
Reviewed on Nov 18, 2020
Excellent course and relevant content. I have been looking for something of this type for months now. Very happy with the learning
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