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Dr Areti Manataki
and
Dr Frances Wong
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.
Read more
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.
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/qvwf8a/data
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What's inside
Syllabus
Welcome to the Course
Join us this week to find out how the course works and to try your hand at programming in Python!
WELCOME TO WEEK 2
This week you will be introduced to Sequence Processing and Medical Image Analysis. Explore the course materials to find out about recent advances in these areas and how they contribute to Precision Medicine!
Read more
Syllabus
Welcome to the Course
Join us this week to find out how the course works and to try your hand at programming in Python!
WELCOME TO WEEK 2
This week you will be introduced to Sequence Processing and Medical Image Analysis. Explore the course materials to find out about recent advances in these areas and how they contribute to Precision Medicine!
Read more
WELCOME TO WEEK 3
This week you will learn about Probabilistic and Network Modelling, and how they are applied to biomedicine. You will also be introduced to Machine Learning and explore the opportunities it brings to the medical field.
WELCOME TO WEEK 4
This week you will discover how clinical notes and other free-form text can be analysed with the use of Natural Language Processing techniques. You will also find out how Process Modelling can help us understand, stratify and improve healthcare processes.
WELCOME TO WEEK 5
In this final week of the course you will learn how the Graph Data model allows for effective linkage of different data in the life sciences. You will also explore societal, legal and ethical implications of precision medicine and stratified healthcare.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores recent advances in data science for precision medicine
Uses hands-on labs
Taught by leaders in the field
Learn about real world case studies
Examines data types and computational methods for precision medicine
Provides experience in working with relevant data
Save this course
Save Data Science in Stratified Healthcare and Precision Medicine to your list so you can find it easily later:
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Reviews summary
Data science for healthcare
Learners say this five-star rated course from the University of Edinburgh is an excellent introduction to data science in healthcare. This well-organized course is highly informative and covers healthcare basics. It's well worth the time and effort to complete this course.
Interview with doctors
"great course, I enjoy the most the talk between the course instructors and the doctors"
"The guest interviews are pretty meaningful and in a true sense like a practical real-world case studies."
Lots of hands-on training
"Its an excellent base setting course"
"Very well explained and lots of hands on training "
Instructors are highly experienced
"Excellent course with two top instructors."
"Very good course, both "teachers" take the time to explain each aspect and make this course very interesting and easy to follow."
Great intro course
"Excellent intro."
"That's a great introduction to the subject."
"one of the best intro course for data science"
Course could be more practical
"The content of the course is good, it could be more practical and use data science in simulations of real projects, since it says it is an intermediate course."
Coding is not explained thoroughly
"Would have been better if the coding was explained more thoroughly, instead of simply given to you"
Topics are not discussed in detail
"The course includes a super brief explanation about topics so it doesn't help to understand any topic."
"Overall this is a nice course. Instructors explained clearly but somehow it was too fast. Every topic is disscused in general not in detail."
Exams make it difficult to succeed
"The course content is interesting and clearly explained. Unfortunately, technical problems with the exams make it difficult to succeed."
"What does work badly is that it's been 5 days and my assignment still hasn't been reviewed, which is a bit frustrating."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Data Science in Stratified Healthcare and Precision Medicine with these
activities:
Curate a Resource List on Open-Source Tools for Healthcare Data Analysis
Show steps
Enhance your knowledge of available resources by compiling a list of open-source tools for healthcare data analysis.
Show steps
-
Research and identify various open-source tools used in healthcare data analysis
-
Organize the tools into categories based on their functionality
-
Include a brief description and links to each tool
-
Share your resource list with the class or a relevant online community
Volunteer at a local hospital or clinic
Show steps
This is a great way to learn about medical research.
Show steps
-
Find a local hospital or clinic that you can volunteer at
-
Contact the volunteer coordinator and ask about opportunities
-
Sign up for a volunteer shift
Join Study Groups for Machine Learning and Healthcare Applications
Show steps
Supplement your learning by engaging in peer study groups that focus on Machine Learning and its applications in healthcare.
Browse courses on
Machine Learning
Show steps
-
Identify and join online or in-person study groups dedicated to Machine Learning and healthcare
-
Participate actively in discussions, ask questions, and share insights
-
Collaborate on projects or assignments related to Machine Learning in healthcare
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Improve your Python skills
Show steps
Python is the language used in the course and experience using Python will make your learning experience easier.
Browse courses on
Python Programming
Show steps
-
Complete a simple Python tutorial
-
Solve some coding challenges on a platform like LeetCode or HackerRank
Read 'Natural Language Processing with Python'
Show steps
This book covers many of the topics covered in this course, and can be used to supplement your understanding.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Read the first two chapters
-
Work through the exercises at the end of the chapters
Watch tutorials on YouTube or Coursera to learn new skills
Show steps
There are many great tutorials available online that can supplement your learning.
Show steps
-
Find a tutorial on a topic that you are interested in
-
Watch the tutorial and take notes
-
Try out the skills that you learn in the tutorial
Solve Coding Challenges on Machine Learning Algorithms
Show steps
Enhance your Machine Learning skills by solving coding challenges that test your understanding of various algorithms.
Browse courses on
Machine Learning
Show steps
-
Join online coding platforms that offer Machine Learning challenges
-
Select challenges that cover different Machine Learning algorithms, such as supervised and unsupervised learning
-
Implement the algorithms in your preferred programming language
-
Test your code against the provided datasets and evaluate its performance
-
Analyze your results and identify areas for improvement
Further Explore Network Modelling for Medical Imaging
Show steps
Deepen your understanding of Network Modelling by seeking out tutorials on its application to medical imaging.
Show steps
-
Identify relevant tutorials on Network Modelling in medical imaging
-
Watch and take notes on the tutorials, focusing on the practical applications and challenges
-
Consider enrolling in an online course or workshop on Network Modelling for medical imaging
Solve practice problems on bioinformatics websites
Show steps
These problems will help you to develop your problem-solving skills and reinforce the concepts you learn in the course.
Browse courses on
Bioinformatics
Show steps
-
Find a bioinformatics website with practice problems
-
Solve a few problems each day
Explore Advanced Techniques in Sequence Processing for Genomics
Show steps
Expand your knowledge of Sequence Processing by seeking out tutorials on advanced techniques in genomics.
Show steps
-
Identify relevant tutorials on advanced Sequence Processing techniques for genomics
-
Watch and take notes on the tutorials, focusing on the latest algorithms and tools
-
Apply the techniques to your own genomics data or projects
Develop a Case Study on Probabilistic Modelling in Healthcare
Show steps
Reinforce your grasp of Probabilistic Modelling by crafting a case study that demonstrates its use in healthcare.
Show steps
-
Identify a specific healthcare problem that can be addressed using Probabilistic Modelling
-
Gather real-world data and explore its suitability for Probabilistic Modelling
-
Apply Probabilistic Modelling techniques to analyze the data and identify patterns
-
Develop insights and recommendations based on the analysis
-
Present your case study through a written report or presentation
Create a blog post about a topic covered in the course
Show steps
Explaining a concept to someone else is a great way to solidify your understanding.
Show steps
-
Choose a topic that you are comfortable with
-
Write a draft of your blog post
-
Get feedback from a friend or family member
-
Publish your blog post
Develop a Prototype Data Visualization Tool for Healthcare Data
Show steps
Solidify your understanding of Data Visualization by creating a prototype tool that addresses a specific challenge in healthcare.
Browse courses on
Data Visualization
Show steps
-
Identify a problem or opportunity in healthcare that can be addressed through effective data visualization
-
Design and develop the prototype using appropriate visualization techniques
-
Gather feedback from healthcare professionals and patients to refine the design
-
Present your prototype and demonstrate its potential impact
Build a machine learning model to predict a medical condition
Show steps
This is a practical way to apply the skills you learn in the course.
Show steps
-
Gather data on a medical condition
-
Clean and prepare the data
-
Build a machine learning model
-
Evaluate the performance of the model
Curate a Resource List on Open-Source Tools for Healthcare Data Analysis
Show steps
Enhance your knowledge of available resources by compiling a list of open-source tools for healthcare data analysis.
Show steps
Show steps
Show steps
- Research and identify various open-source tools used in healthcare data analysis
- Organize the tools into categories based on their functionality
- Include a brief description and links to each tool
- Share your resource list with the class or a relevant online community
Volunteer at a local hospital or clinic
Show steps
This is a great way to learn about medical research.
Show steps
Show steps
Show steps
- Find a local hospital or clinic that you can volunteer at
- Contact the volunteer coordinator and ask about opportunities
- Sign up for a volunteer shift
Join Study Groups for Machine Learning and Healthcare Applications
Show steps
Supplement your learning by engaging in peer study groups that focus on Machine Learning and its applications in healthcare.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify and join online or in-person study groups dedicated to Machine Learning and healthcare
- Participate actively in discussions, ask questions, and share insights
- Collaborate on projects or assignments related to Machine Learning in healthcare
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Improve your Python skills
Show steps
Python is the language used in the course and experience using Python will make your learning experience easier.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Complete a simple Python tutorial
- Solve some coding challenges on a platform like LeetCode or HackerRank
Read 'Natural Language Processing with Python'
Show steps
This book covers many of the topics covered in this course, and can be used to supplement your understanding.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Read the first two chapters
- Work through the exercises at the end of the chapters
Watch tutorials on YouTube or Coursera to learn new skills
Show steps
There are many great tutorials available online that can supplement your learning.
Show steps
Show steps
Show steps
- Find a tutorial on a topic that you are interested in
- Watch the tutorial and take notes
- Try out the skills that you learn in the tutorial
Solve Coding Challenges on Machine Learning Algorithms
Show steps
Enhance your Machine Learning skills by solving coding challenges that test your understanding of various algorithms.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Join online coding platforms that offer Machine Learning challenges
- Select challenges that cover different Machine Learning algorithms, such as supervised and unsupervised learning
- Implement the algorithms in your preferred programming language
- Test your code against the provided datasets and evaluate its performance
- Analyze your results and identify areas for improvement
Further Explore Network Modelling for Medical Imaging
Show steps
Deepen your understanding of Network Modelling by seeking out tutorials on its application to medical imaging.
Show steps
Show steps
Show steps
- Identify relevant tutorials on Network Modelling in medical imaging
- Watch and take notes on the tutorials, focusing on the practical applications and challenges
- Consider enrolling in an online course or workshop on Network Modelling for medical imaging
Solve practice problems on bioinformatics websites
Show steps
These problems will help you to develop your problem-solving skills and reinforce the concepts you learn in the course.
Browse courses on
Bioinformatics
Show steps
Show steps
Show steps
- Find a bioinformatics website with practice problems
- Solve a few problems each day
Explore Advanced Techniques in Sequence Processing for Genomics
Show steps
Expand your knowledge of Sequence Processing by seeking out tutorials on advanced techniques in genomics.
Show steps
Show steps
Show steps
- Identify relevant tutorials on advanced Sequence Processing techniques for genomics
- Watch and take notes on the tutorials, focusing on the latest algorithms and tools
- Apply the techniques to your own genomics data or projects
Develop a Case Study on Probabilistic Modelling in Healthcare
Show steps
Reinforce your grasp of Probabilistic Modelling by crafting a case study that demonstrates its use in healthcare.
Show steps
Show steps
Show steps
- Identify a specific healthcare problem that can be addressed using Probabilistic Modelling
- Gather real-world data and explore its suitability for Probabilistic Modelling
- Apply Probabilistic Modelling techniques to analyze the data and identify patterns
- Develop insights and recommendations based on the analysis
- Present your case study through a written report or presentation
Create a blog post about a topic covered in the course
Show steps
Explaining a concept to someone else is a great way to solidify your understanding.
Show steps
Show steps
Show steps
- Choose a topic that you are comfortable with
- Write a draft of your blog post
- Get feedback from a friend or family member
- Publish your blog post
Develop a Prototype Data Visualization Tool for Healthcare Data
Show steps
Solidify your understanding of Data Visualization by creating a prototype tool that addresses a specific challenge in healthcare.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a problem or opportunity in healthcare that can be addressed through effective data visualization
- Design and develop the prototype using appropriate visualization techniques
- Gather feedback from healthcare professionals and patients to refine the design
- Present your prototype and demonstrate its potential impact
Build a machine learning model to predict a medical condition
Show steps
This is a practical way to apply the skills you learn in the course.
Show steps
Show steps
Show steps
- Gather data on a medical condition
- Clean and prepare the data
- Build a machine learning model
- Evaluate the performance of the model
Career center
Learners who complete Data Science in Stratified Healthcare and Precision Medicine will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting data to find patterns and trends. They work with a variety of stakeholders to make recommendations and develop solutions. This course may be helpful for you if you are interested in a career as a Data Scientist, as it covers a variety of topics that are relevant to the field, such as data mining and data visualization.
Data Architect
Data Architect
A Data Architect is responsible for designing, building, and maintaining data systems. They work with business stakeholders, data analysts, and other IT professionals to ensure that data systems meet the needs of the organization. This course may be helpful for you if you are interested in a career as a Data Architect, as it covers a variety of topics that are relevant to the field, such as data modeling and data integration.
Biomedical Data Scientist
Biomedical Data Scientist
A Biomedical Data Scientist is a computer expert that works in healthcare to help make sense of health-related data. These professionals handle a variety of projects, such as designing data pipelines, building predictive models, and developing algorithms for various applications in the medical field. Since the field of healthcare collects a significant amount of data, this course may be helpful for you to get started in this field.
Healthcare Data Analyst
Healthcare Data Analyst
A Healthcare Data Analyst is responsible for collecting, analyzing, and interpreting healthcare data to improve patient care. They work with healthcare providers, administrators, and researchers to identify trends, develop solutions, and improve the quality of care. This course may be useful for you to get started as it covers a variety of topics that are relevant to this field, such as natural language processing and machine learning.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models. They work with data scientists, software engineers, and other professionals to develop solutions to complex problems. This course may be helpful for you if you're interested in a career as a Machine Learning Engineer, as it covers a variety of topics that are relevant to the field, such as machine learning and natural language processing.
Biostatistician
Biostatistician
A Biostatistician designs studies, collects and analyzes data, and interprets results for use in making medical decisions. They can work in a variety of settings and may collaborate with scientists, researchers, and healthcare providers. Since this field involves the use of data science to make better decisions, this course may offer you an advantage by exposing you to different topics related to data analysis and data processing that are used in this field.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They work with a variety of stakeholders to ensure that software applications meet the needs of the organization. This course may be helpful for you if you are interested in a career as a Software Engineer, as it covers a variety of topics that are relevant to the field, such as software design and software testing.
Clinical Data Manager
Clinical Data Manager
A Clinical Data Manager is in charge of planning, monitoring, and analyzing data for clinical trials. They ensure that data is accurate, complete, and reliable, and they prepare reports and presentations to communicate findings. If you are interested in working in clinical research, then this course may be helpful to you as it covers a variety of different data types and computational methods that are used in the field.
Biomedical Engineer
Biomedical Engineer
A Biomedical Engineer is responsible for designing and developing medical devices and technologies. They work with a variety of stakeholders to ensure that medical devices and technologies are safe and effective. This course may be helpful for you if you are interested in a career as a Biomedical Engineer, as it covers a variety of topics that are relevant to the field, such as medical imaging and medical device design.
Medical Physicist
Medical Physicist
A Medical Physicist is a scientist who uses physics principles to work in the medical field. They use their skills to provide healthcare professionals with the technology and knowledge they need to diagnose and treat patients. As a Medical Physicist, you could work in a hospital, clinic, research lab, or teach at a university. The topics covered by this course, such as sequence processing and image analysis, may be useful for learning about the different types of data and computational methods that are involved in the field.
Health Informatics Specialist
Health Informatics Specialist
A Health Informatics Specialist is responsible for managing and analyzing health data. They work with a variety of stakeholders to ensure that health data is accurate, complete, and reliable. This course may be helpful for you if you are interested in a career as a Health Informatics Specialist, as it covers a variety of topics that are relevant to the field, such as data mining and data visualization.
Healthcare Consultant
Healthcare Consultant
A Healthcare Consultant is responsible for providing advice and guidance to healthcare organizations on how to improve their operations. They work with a variety of stakeholders to identify and solve problems, and they develop and implement solutions. This course may be helpful for you if you are interested in a career as a Healthcare Consultant, as it covers a variety of topics that are relevant to the field, such as healthcare finance and healthcare policy.
Healthcare Administrator
Healthcare Administrator
A Healthcare Administrator is responsible for managing the day-to-day operations of a healthcare organization. They work with a variety of stakeholders to ensure that the organization is running smoothly and efficiently. This course may be helpful for you if you are interested in a career as a Healthcare Administrator, as it covers a variety of topics that are relevant to the field, such as healthcare finance and healthcare management.
Medical Writer
Medical Writer
A Medical Writer is responsible for writing and editing medical documents, such as patient education materials, clinical trial protocols, and scientific articles. They work with a variety of stakeholders to ensure that medical documents are accurate, clear, and concise. This course may be helpful for you if you are interested in a career as a Medical Writer, as it covers a variety of topics that are relevant to the field, such as medical terminology and scientific writing.
Clinical Research Associate
Clinical Research Associate
A Clinical Research Associate is responsible for managing clinical trials. They work with a variety of stakeholders to ensure that clinical trials are conducted in accordance with good clinical practice guidelines. This course may be helpful for you if you are interested in a career as a Clinical Research Associate, as it covers a variety of topics that are relevant to the field, such as clinical trial design and clinical trial management.
For more career information including salaries, visit:
OpenCourser.com/course/qvwf8a/data
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Science in Stratified Healthcare and Precision Medicine.
Provides a comprehensive overview of bioinformatics, including sequence analysis, gene expression analysis, and protein structure prediction.
Covers data management, analysis, and visualization techniques essential for bioinformatics research.
Provides an introduction to machine learning algorithms and their applications in healthcare, including disease diagnosis, patient risk assessment, and treatment selection.
Provides a comprehensive overview of biomedical informatics, including its history, applications, and ethical and societal implications.
Provides practical guidance on the use of health informatics in healthcare settings, including data management, analytics, and interoperability.
Provides a practical guide to using data science in healthcare, including case studies and examples.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qvwf8a/data
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Effort
5 weeks of study, 3-4 hours/week
Level
Intermediate
Via
Coursera
Institution
The University of Edinburgh
Instructors
Dr Areti Manataki
Dr Frances Wong
Language
English
Transcripts
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آذربایجان دیلی
Good to know
Explores recent advances in data science for precision medicine
Uses hands-on labs
Taught by leaders in the field
Learn about real world case studies
Examines data types and computational methods for precision medicine
Provides experience in working with relevant data
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