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
31,759 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
- Statistical Methods
- Natural Language Processing
- Statistical Modeling
- Image Analysis
- Data Science
- Data Analysis
- Machine Learning
- Precision Medicine
- Health Informatics
- Applied Machine Learning
- Data Ethics
- Biostatistics
- Clinical Documentation
- Medical Imaging
- Network Model
- Machine Learning Methods
- Probability & Statistics
- Bioinformatics
- Process Modeling
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
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University of California, Davis
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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!
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.
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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