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Data Science in Stratified Healthcare and Precision Medicine

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. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. And you will learn from leaders in the field about successful case studies. Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data. Watch the course promo video here: http://edin.ac/2pn350P
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Rating 4.6 based on 27 ratings
Length 6 weeks
Effort 5 weeks of study, 3-4 hours/week
Starts Jul 17 (41 weeks ago)
Cost $49
From The University of Edinburgh via Coursera
Instructors Dr Areti Manataki, Dr Frances Wong
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Medicine And Healthcare Data Science Data Analysis Health Informatics

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What people are saying

based around using python

The tutorials were excellent and based around using python for data science tasks such as NLP and imaging manipulation.

catch up pretty well.thanks

It is very clear in explanation and easy to understand.It offers not only theoretical explanation but also practical programming and assignments.Even for me, who is fresher to Python and data analysis, i can catch up pretty well.Thanks a lot Great Course!

assignment took so long

Peer-graded Assignment took so long A very knowledgeable course that gives insight into the upcoming advances in healthcare with the help of data science.

final project had nothing

The final project had nothing to do with what was being covered in the course.

provided fantastic insights into

The case studies provided fantastic insights into data science and precision medicine.

brings together medical concepts

This course is really good and it brings together medical concepts and data science.

ever done through coursera

One of the great course I have ever done through coursera!

thinking about making

I would recommend this course to those who are thinking about making their carrier in Data Science specially in Healthcare Business!

understand.it offers not

dr areti manataki

The course was run by Dr Areti Manataki and Dr Frances Wong.

analytics methods

Course introduces a varieties of Data Analytics methods and machine learning approaches for working with the stratified Healthcare data.

frances wong

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Precision Assembler $47k

Instructor in Medicine, Geisel School of Medicine $56k

Precision Ag Sales Specialist $69k

Precision Mechanical Artist $73k

Precision mechanical Inspector $79k

Precision Grinder $79k

Machinist / Precision Mechanical Assembly Manager $95k

Platform Marketing Manager, Precision Farming $106k

HR Executive, Technology & Precision Diagnostics $113k

Product Manager - Precision Ag Technologies $113k

Head of Precision Medicine, Early Clinical Development $137k

Physician, Sports Medicine and Family Medicine $198k

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Rating 4.6 based on 27 ratings
Length 6 weeks
Effort 5 weeks of study, 3-4 hours/week
Starts Jul 17 (41 weeks ago)
Cost $49
From The University of Edinburgh via Coursera
Instructors Dr Areti Manataki, Dr Frances Wong
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Medicine And Healthcare Data Science Data Analysis Health Informatics

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