Health Data Research UK (HDR UK) is inviting professionals working in technical roles within health data science to participate in a short survey aimed at shaping the future language used to describe their work.

We are delighted to announce that an article titled Prioritise environmental sustainability in use of AI and data science methods and co-authored by SSI Research Director Caroline Jay has been published on Nature.

The article reflects on the relationship between Artificial Intelligence (AI) and environmental sustainability. AI and data science will play a crucial role in improving environmental sustainability, but the energy requirements of these methods will have an increasingly negative effect on the environment without sustainable design and use.

Imperial College London offer many courses in research computing and data science. Topics cover statistical concepts, data analysis, machine learning, introduction to programming, python, software engineering, LaTeX, and the Linux command line. 

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Health data science training and learning. HDR UK's virtual learning platform Health Data Research Futures is a free and flexible learning platform offering expert led Continuing Professional Development (CPD) accredited courses designed for you.

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DZone provide many tutorials on programming, data science, HPC and software topics. Explore their page for various topics. 

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Th full text of the Python Data Science Handbook by Jake VanderPlas is available on the website below; the content is also available on GitHub in the form of Jupyter notebooks.

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This series of workshops covers open research and reproducibility in R. It consists of 12 workshops aimed at beginners.

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This handbook developed by ModernDive covers the basics of working with data in R. It is the website of the  electronic books, Statistical Inference via Data Science: A ModernDive into R and the Tidyverse!

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The Carpentries has developed a Glossary in various languages on terms used in Computing and Data Science. The glossary also exists as a library in R and Python. 

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