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
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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
- Data Analysis
- Biostatistics
- Machine Learning Methods
- Natural Language Processing
- Bioinformatics
- Applied Machine Learning
- Precision Medicine
- Health Informatics
- Clinical Documentation
- Image Analysis
- Statistical Methods
- Statistical Modeling
- Process Modeling
- Medical Imaging
- Data Ethics
- Data Science
- Network Model
- Machine Learning
- Probability & Statistics
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
SP
Reviewed on Oct 31, 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 14, 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.
NN
Reviewed on Apr 11, 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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