Please find below a range of online resources relating to the Genomics Education Programme.
Although we make every effort to ensure these links are accurate, up to date and relevant, the Genomics Education Programme cannot take responsibility for pages maintained by external providers. If you come across any external links that don't work, we would be grateful if you could report them to the web content team.
Please note that external links from this website may include material of a political nature. The Genomics Education Programme takes no responsibility for information contained on external links from this website. Views expressed on external sites are not necessarily those of HEE or the Genomics Education Programme itself.
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|Master Algorithmic Programming Techniques 5 Courses|
|Big Data: Data Visualisation|
In this course we will use a variety of tools, so that you can become comfortable with engaging with different software packages and gain confidence in trialling new packages that may better meet your particular needs.
|Big Data: Mathematical Modelling|
This course is designed for anyone looking to add mathematical methods for data analytics to their skill set. We provide a multi-layered approach, so you can learn about the methods even if you don’t have a strong maths background, but we provide further information for those with a sound knowledge of first or second year undergraduate mathematics. We will assume basic MATLAB (or other) programming skills for some of the practical exercises.
|Big Data: Statistical Inference and Machine Learning|
You will enjoy this course most and benefit from the learning experience if you have a basic understanding of statistics and mathematics at an undergraduate level. You will complete practical exercises using R Studio, so you’ll need to be familiar enough with R to: Install a package; import data; read and run starter code; develop a solution or read through a solution and gain understanding from it.
|Clinical Bioinformatics: Unlocking Genomics in Healthcare|
This course is aimed at current healthcare professionals, who are interested in learning more about the role of clinical bioinformatics and will also be applicable to people with an interest in the application of genomics in healthcare. It is not essential to have previous experience or knowledge of bioinformatics or genomics although medical terminology is used and the course is designed to be applicable to practising healthcare professionals.
|1 yr: Postgraduate Diploma in Genomic Medicine & Healthcare (online)|
This practically and clinically focused PGDip course is delivered to health professionals across the globe and is completed over one year. The online delivery offers flexibility, enabling students to learn around existing work commitments. The syllabus is targeted at a broad range of health professions and includes a unique ‘Genomics and Society’ module. The course provides students with critical knowledge and understanding of the rapidly expanding field of genomics medicine.
|Economics of Genomics and Precision Medicine CPD workshop|
This three-day CPD workshop will help those involved in the provision, commissioning or evaluation of healthcare services to assess whether genomic technologies and precision medicine offer value for money.
|Personalised Medicine (Pharmacogenetics)|
This course, primarily designed for general practitioners, will develop an understanding of the science and application of Pharmacogenetics to help the practitioner make informed choices about the selection of pharmacogenetic tests that can guide treatment and other choices about patient management.
|Genomic Technologies in Clinical Diagnostics: Next Generation Sequencing|
This course is designed for scientists and healthcare professionals with an interest in obtaining a postgraduate-level understanding of genomic sequencing. If you are completing both Genomic Technologies in Clinical Diagnostics courses, we recommend that you complete Genomic Technologies in Clinical Diagnostics: Molecular Techniques first. And if you are new to the field, we recommend that you complete 'The Genomics Era: the Future of Genetics in Medicine' – the first in the
|Genomic Technologies in Clinical Diagnostics: Molecular Techniques|
This course is designed for scientists and healthcare professionals with an interest in obtaining a postgraduate-level understanding of molecular genomic techniques. If you are new to the field, we recommend that before you start this course, you complete 'The Genomics Era: the Future of Genetics in Medicine' – the first in the 'Genomics in Healthcare' program from St George’s.
|Genomic Medicine Gets Personal|
A team of experts from various departments at Georgetown University and other institutions, have been assembled to teach this comprehensive online genomics course. This course is aimed at all healthcare professionals, including senior commissioning managers and members of the public interested in learning about Genomic Medicine.
|Ethical and Social Challenges of Genomic and Precision Medicine|
This course is primarily directed toward learners with an interest in genetics, medical genetics, genetic counseling, public health, as well as members of the broader public with an interest in the ethical, legal, policy, and social issues raised by the new science of genomics.
|Genomic Data Science 7 Course Specialism|
This specialisation covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, Python, R, Bioconductor, and Galaxy.
|Genomic and Precision Medicine|
The course is geared toward practising health care providers, although it should be accessible to anyone with a background in the biological sciences and a basic understanding of genetics. It is designed to be succinct and clinically-focused, offering both conceptual and practical information about real-world applications of genomics.
|Learning Package - Understanding Genomics|
Discover the growing importance of genomics in healthcare research, diagnosis and treatment, with these free online courses. Learn with researchers and clinicians from leading universities and medical schools.