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Data Science in Stratified Healthcare and Precision Medicine
  • Level Professional
  • المدة 17 ساعات hours
  • الطبع بواسطة The University of Edinburgh
  • Offered by

عن

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

الوحدات

Course Introduction

    • 2 Videos
    • 6 Readings
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2 Videos

  • Welcome to the Course
  • About the Course

6 Readings

  • Syllabus
  • Course Logistics
  • How to use the Discussion Forums
  • Course Team
  • Acknowledgements
  • Copyright

Introduction to Programming

    • 3 Videos
    • 2 Readings
    • 2 Lab
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2 Labs

  • Python Basics Part 1
  • Python Basics Part 2

3 Videos

  • Demystifying Data Science
  • Python Basics Part 1
  • Python Basics Part 2

2 Readings

  • How to use Jupyter Notebooks
  • Programming tips & tricks

Case Studies

    • 2 Videos
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2 Videos

  • Professor Andrew Morris
  • Professor Aileen Keel

Assessments

    • 1 Assignment
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1 Assignment

  • Quiz 1

Sequence Processing

    • 4 Videos
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4 Videos

  • Introduction
  • DNA and Sequencing
  • Modelling the Data
  • Conclusion

Case Studies

    • 2 Videos
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2 Videos

  • Professor Tim Aitman
  • Professor David Porteous

Image Analysis

    • 3 Videos
    • 1 Lab
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1 Labs

  • Image Analysis Programming Task

3 Videos

  • Introduction
  • Medical Imaging Data & Modalities
  • Analysing Medical Images

Assessments

    • 1 Assignment
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1 Assignment

  • Quiz 2

Network Modelling

    • 4 Videos
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4 Videos

  • Introduction
  • Representing Networks
  • Biological Networks
  • Conclusion

Probabilistic Modelling

    • 3 Videos
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3 Videos

  • Introduction
  • Statistical Methods in Medical Research
  • Conclusion

Machine Learning

    • 4 Videos
    • 1 Lab
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1 Labs

  • Machine Learning Programming Task

4 Videos

  • Introduction
  • Supervised Learning
  • Unsupervised Learning
  • Conclusion

Assessments

    • 1 Readings
    • 1 Lab
    • 2 Assignment
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2 Assignment

  • Quiz 3
  • Programming Assignment Quiz

1 Labs

  • Programming Assignment Notebook

1 Readings

  • How the Programming Assignment works

Natural Language Processing

    • 3 Videos
    • 1 Lab
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1 Labs

  • Natural Language Processing Programming Task

3 Videos

  • Introduction
  • Tasks
  • Computational Methods

Case Study

    • 1 Videos
    • 1 Readings
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1 Videos

  • Angus McCann from IBM

1 Readings

  • IBM Watson

Process Modelling

    • 4 Videos
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4 Videos

  • Introduction
  • Modelling Processes
  • Analysing Processes
  • Process Mining

Case Study

    • 1 Videos
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1 Videos

  • Rodrigo Barnes from Aridhia

Assessments

    • 1 Assignment
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1 Assignment

  • Quiz 4

Graph Data

    • 3 Videos
    • 1 Readings
    • 1 Lab
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1 Labs

  • Graph Data Programming Task

3 Videos

  • Introduction
  • Graph Data & RDF
  • Ontologies & Graph Data Conclusion

1 Readings

  • SPARQL Querying

Case Studies

    • 2 Videos
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2 Videos

  • Dr Steve Pavis
  • Professor Mark Parsons

Course Summary

    • 2 Videos
    • 2 Readings
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2 Videos

  • Society, Law and Ethics
  • Course Conclusion

2 Readings

  • General Data Protection Regulation (GDPR)
  • Research Ethics

Assessments

    • 1 PeerReview
    • 1 Assignment
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1 Assignment

  • Quiz 5

1 Peer Review

  • Final Course Assessment

Survey

    • 1 Readings
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1 Readings

  • Post-Course Survey

Auto Summary

Explore the transformative world of data science in biomedicine with "Data Science in Stratified Healthcare and Precision Medicine." This professional-level course by Coursera, led by field experts, covers genomic data, electronic patient records, and wearable device data. Engage in hands-on learning with key topics such as sequence processing, image analysis, network and probabilistic modelling, machine learning, and more. Perfect for professionals aiming to excel in precision medicine, it offers flexible starter and professional subscription options. Join now for a comprehensive 1020-minute deep dive into cutting-edge healthcare data science.

Dr Areti Manataki
Instructors

Dr Areti Manataki

Dr Frances Wong
Instructors

Dr Frances Wong