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
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341 reviews
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
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Skills you'll gain
- Process Modeling
- Bioinformatics
- Clinical Documentation
- Applied Machine Learning
- Medical Imaging
- Statistical Methods
- Data Analysis
- Machine Learning Methods
- Health Informatics
- Statistical Modeling
- Data Science
- Biostatistics
- Precision Medicine
- Network Model
- Data Ethics
- Image Analysis
- Probability & Statistics
- Natural Language Processing
- Machine Learning
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Taught in English
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There are 5 modules in this course
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Showing 3 of 341
SS
Reviewed on Mar 11, 2020
This is one of the excellent courses attended by me from Coursera. I am not from medical/healthcare background but got very good information about this domain. Thank you Team
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!
NN
Reviewed on Apr 10, 2020
The course open a wide understanding over the use of Data science in Healthcare. This course is just for basic understanding. More you practice more you get.
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