Coding Club

For more information and online tutorials please check out the Coding Club website.

Coding Club is a positive peer-to-peer learning community aiming to advance quantitative skills, in particular in statistics and programming. I am leading a determined and enthusiastic team of undergraduate students, PhD students and academic staff, and together we are organising weekly workshops and developing online tutorials. Our mission is to replace statistics anxiety and code fear with inspiration and motivation to learn. Our workshops cover themes such as mixed effects models, informative and beautiful data visualisation and efficient workflows. All of our tutorials are freely available on the Coding Club website and we are very happy to have other people use and adapt our tutorials. If you’d like to get involved, you can find more information here.

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Coding Club is a place for judgement-free collaborative learning, and along with my team, we are working towards developing statistics and programming skills among students and researchers, and creating a positive learning environment.

Here are some of our favourite tutorials

Coding Club Media and Blog posts

Coding Club – a positive peer-learning community – Feature in the University of Edinburgh EnlightenED magazine

Learning statistics and coding peer to peer – Blog post for the Teaching Matters blog

Coding Club around the world

Coding can really bring people together! Over the last year and a half, we’ve seen people help each other with coding challenges, there have been high fives, laughter and of course, the occasional frustrations. We are so happy to see that such initiatives are happening not just in Edinburgh, but all around the world! All of our tutorials are freely available online, and if you are keen to use or adapt our materials in your teaching, you are most welcome to get in touch. You can learn more on our Get Involved page. We are thrilled to see that people are accessing our online tutorials from all around the world!

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Coding Club users

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You can follow our adventures in statistics and programming on Twitter.