Data Science in Stratified Healthcare and Precision Medicine
提供方
Data Science in Stratified Healthcare and Precision Medicine
The University of Edinburgh
课程信息
4.6
27 个评分
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
您将获得的技能
Data SciencePython ProgrammingMachine LearningImage Analysis
教学大纲 - 您将从这门课程中学到什么
Week
1Welcome to the Course
Join us this week to find out how the course works and to try your hand at programming in Python!
7 个视频（共 52 分钟）, 8 个阅读材料, 1 个测验
7 个视频
About the Course2分钟
Demystifying Data Science4分钟
Python Basics Part 19分钟
Python Basics Part 25分钟
Professor Andrew Morris12分钟
Professor Aileen Keel15分钟
8 个阅读材料
Syllabus10分钟
Course Logistics10分钟
How to use the Discussion Forums10分钟
Course Team10分钟
Acknowledgements10分钟
Copyright10分钟
How to use Jupyter Notebooks10分钟
Programming tips & tricks10分钟
1 个练习
Quiz 120分钟
Week
2WELCOME 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!
9 个视频（共 53 分钟）, 1 个测验
9 个视频
Introduction1分钟
DNA and Sequencing3分钟
Modelling the Data3分钟
Conclusion4分钟
Professor Tim Aitman13分钟
Professor David Porteous11分钟
Introduction1分钟
Medical Imaging Data & Modalities7分钟
Analysing Medical Images5分钟
1 个练习
Quiz 220分钟
Week
3WELCOME 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.
11 个视频（共 43 分钟）, 1 个阅读材料, 2 个测验
11 个视频
Introduction1分钟
Representing Networks3分钟
Biological Networks5分钟
Conclusion2分钟
Introduction2分钟
Statistical Methods in Medical Research4分钟
Conclusion3分钟
Introduction1分钟
Supervised Learning10分钟
Unsupervised Learning5分钟
Conclusion1分钟
1 个阅读材料
How the Programming Assignment works10分钟
2 个练习
Quiz 320分钟
Programming Assignment Quiz20分钟
Week
4WELCOME 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.
9 个视频（共 57 分钟）, 1 个阅读材料, 1 个测验
9 个视频
Introduction2分钟
Tasks10分钟
Computational Methods4分钟
Angus McCann from IBM7分钟
Introduction2分钟
Modelling Processes6分钟
Analysing Processes6分钟
Process Mining2分钟
Rodrigo Barnes from Aridhia13分钟
1 个阅读材料
IBM Watson10分钟
1 个练习
Quiz 420分钟
4.6
热门审阅
创建者 SW•Jun 8th 2018
Great course, really well designed and well produced and I feel like I've learned a lot! The coding was a bit of a shock to the system but it was nice and challenging. Thank you to the team!
创建者 SJ•Sep 1st 2018
One of the great course I have ever done through coursera! Thank you to Dr.Wong and Dr.Areti for their great contribution!
讲师
Dr Areti Manataki
Teaching and Research FellowCentre for Medical Informatics
Dr Frances Wong
Data Science MOOC Project LeadCollege of Science and Engineering
关于 The University of Edinburgh
Influencing the world since 1583, The University of Edinburgh is consistently ranked as one of the world's top 50 universities. Today, we are an established and global leader in online learning, providing degree-level education to 3,000 online students in addition to 36,000 students on-campus. We also offer a wide range of free online courses in a variety of subjects. To find out more about studying for one of our online degrees, search for ‘Edinburgh online’ or visit www.ed.ac.uk/studying/online-learning/postgraduate
常见问题
我什么时候能够访问课程视频和作业？
注册以便获得证书后，您将有权访问所有视频、测验和编程作业（如果适用）。只有在您的班次开课之后，才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程，可能无法访问某些作业。
我购买证书后会得到什么？
您购买证书后，将有权访问所有课程材料，包括评分作业。完成课程后，您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。
