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
Learn at your own pace
97%
Most learners liked this course
Skills you'll gain
- Health Informatics
- Machine Learning Methods
- Network Model
- Machine Learning
- Clinical Documentation
- Process Modeling
- Bioinformatics
- Probability & Statistics
- Data Ethics
- Statistical Modeling
- Biostatistics
- Data Analysis
- Image Analysis
- Precision Medicine
- Natural Language Processing
- Statistical Methods
- Applied Machine Learning
- Medical Imaging
- Data Science
Tools you'll learn
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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
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.
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.
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