Training and education

Our team has experience designing and delivering workshops (online and in person) in technical areas such as:

Coding with R/Python
Databases (e.g. SQL, MongoDB, Neo4j)
Machine learning and statistics
Software and app engineering (software engineering methodologies)
Front end development

You can find courses (including free programming resources) here: https://www.healthdatalearning.com/.

The short video on the right shows an introductory video on web technologies with HTML delivered by Alan Davies. You can see more videos and examples on the Health Data Research UK's educational platform Futures: HDRUK Futures .

We also have experience designing and developing learning material in a variety of digital mediums from raw HTML/CCS, Articulate Rise, VLE's such as Moodle, Blackboard and Canvas as well as interactive digital notebooks (Jupyter lab/notebook).

Books and resources

Image	Description	Link
	*'Health Data Learning.com'* A web platform with courses focusing on Data Science and programming (and related topics). Includes a free intro to coding course.	Link
	*'Machine Learning for Clinical & Health Data Sciences: A gentle introduction for beginners'* an introduction to the fundamentals of Machine Learning for Data Science with applications in Python and R - coming soon!	TBA
	*'Programming for Clinical & Health Data Sciences: A gentle introduction for beginners'* an introduction to the fundamentals of coding for Data Science with applications in Python and R.	Link
	*'Mathematics for Clinical & Health Data Sciences: A gentle introduction for beginners'* an introduction to the essential mathematics for Data Science with applications in Python and R	Link
	*'Medical Apps and mHealth Interventions A Guide for Researchers, Physicians and Informaticians'* a guide for developing medical apps and interventions.	Link
	*'Starting to Read ECGs: A Comprehensive Guide to Theory and Practice'* a detailed introduction to electrocardiogram (ECG) interpretation.	Link
	*'Starting to Read ECGs: The Basics'* a beginners guide to electrocardiogram (ECG) interpretation.	Link
	*'Towards Data Science'* blog posts on various Data Science topics.	Link