Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Hi everyone! I’m a convener for EdinbR. This month we’re doing something special and have a week of lunchtime seminars about the benefits of working openly. Please sign up and share with your networks!
Work with data or manage people who do?
Want to learn about automation, improving processes and how to incorporate open tools like Python and R? Want to learn about what open might mean for you, whether you’re looking for tools, processes, principles or just general interest?
This June, attend a special series of lunchtime seminars. These feature an awesome set of people talking about different aspects of working openly – and what the benefits are!
Topics covered include: data maturity, software review, data science, community building, data engineering and pipelines, and making a business of open source. There’s something for everyone.
Please register below and share this event with as many colleagues, friends and family as possible.
Register: https://www.meetup.com/EdinbR/events/278595242/
Event website: https://codingedi.github.io/
Event chat: https://matrix.to/#/#codingedi:matrix.org
When: 1 hour seminars, June 14th – 18th, online, 1-2pm (BST).
Hosts
The event is jointly organised by EdinbR and PyData Edinburgh and will be hosted on the BlueJeans platform (available via your web browser), courtesy of Red Hat.
Speakers
We have some fantastic speakers lined up from public, private, charity and academic sectors to talk about what being open means to them, and how it improves their world.
- Arfon Smith, Github & Journal of Open Source Software
- Hillary Juma, Mozilla Foundation
- David Caldwell, Public Health Scotland
- Sian Basker, Data Orchard
- Saber Razmjooei, Lutra Consulting
- Kirstie Whitaker, The Turing Institute
- John Stevenson, British Geological Survey
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.