Data Science in Stratified Healthcare and Precision Medicine -- University of Edinburgh

University of Edinburgh

A data science course from the University of Edinburgh on the course platform exploring how recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. Learn about different types of biomedical data and computational methods, with hands-on experience in sequence processing, image analysis, network modelling, machine learning, and natural language processing.

Duration

20 hours

Level

Intermediate

Deadline

No Deadline

🌐 Available Languages: English
📅 Last Updated: 2026-03-24

📋 Prerequisites

Some programming experience is recommended. Familiarity with basic statistics and data analysis concepts will be helpful. The course is designed for learners with an interest in both data science and healthcare.

👥 Who Should Take This Course

  • Data scientists interested in healthcare and biomedical applications
  • Healthcare professionals seeking to leverage data science skills
  • Bioinformatics students and researchers
  • Developers interested in precision medicine technologies

📚 What You Will Learn

1

Introduction to Data Science in Healthcare

2

Sequence Processing and Genomic Data Analysis

3

Biomedical Image Analysis Techniques

4

Network Modelling and Probabilistic Methods

5

Machine Learning for Healthcare Applications

6

Natural Language Processing and Process Modelling

🏛️ About the Institution — University of Edinburgh

The University of Edinburgh, ranked in the top 50 universities in the world, has been a leader in digital education since the earliest days of online learning. Ranked first in the UK for research power in Computer Science and Informatics (REF 2021), Edinburgh provides an outstanding online distance learning experience.

Founded

1583

Location

Edinburgh, Scotland, United Kingdom

Recognition

#22 Global University — QS World University Rankings

❓ Frequently Asked Questions

What topics does this course cover?
The course covers sequence processing, image analysis, network modelling, probabilistic modelling, machine learning, natural language processing, process modelling, and graph data, all applied to healthcare and biomedical contexts.
Is financial aid available?
Yes, learners can apply for Financial Aid directly through the course platform to assist with the cost of accessing the full course and gaining a certificate for successfully completing the course.
Does Edinburgh offer other data science programs?
Yes, the University of Edinburgh offers several postgraduate programs in data science including an MSc in Data Science Technologies (online), MSc in Data Science for Health and Social Care, and the on-campus MSc in Data Science.

📖 Get Step-by-Step Guide

Complete walkthrough with screenshots, tips, and troubleshooting

  • Step-by-step registration walkthrough
  • Screenshot tutorials for each step
  • Common mistakes to avoid
  • Tips to complete faster
  • Troubleshooting FAQ
$9.99 — Get Step-by-Step Guide

🔗 Related Certificates

Free Certificate Intermediate

PAHO Virtual Campus for Public Health

Pan American Health Organization

The PAHO Virtual Campus for Public Health offers free online courses on epidemiology, health systems management, disease surveillance, and global health policy. Developed by the Pan American Health Organization (WHO regional office for the Americas), these courses build essential public health competencies for health professionals across Latin America and the Caribbean.

⏱ 10-40 hours No Deadline
Beginner

Wilderness First Aid Specialization -- University of Colorado

University of Colorado × CU Anschutz Wilderness Medicine Division

Created by the Wilderness Medicine Division of the Emergency Medicine Department at CU Anschutz, this specialization teaches learners the fundamentals of wilderness first aid. Across four courses, students learn scene safety, medical and traumatic emergency management, environmental injury treatment, and evacuation decision-making. An optional e-WFA certification from the University of Colorado School of Medicine is available upon completion.

⏱ 4 months (2-3 hours/week) No Deadline
Intermediate

Financial Risk Management with R — Duke University

Duke University

Offered by Duke University on the course platform, this course teaches you how to calculate portfolio returns and quantify market risk using the R programming language. Covering Value-at-Risk (VaR) and Expected Shortfall (ES), the course provides essential skills for financial market analysts in banks, hedge funds, insurance companies, and investment firms.

⏱ 16 hours No Deadline