The University of Edinburgh is running a series of online workshops in software and data skills as part of the Scottish Funding Council’s programme for Data for Upskilling Short Courses (DUSC). These courses are intended to help members of the Scottish Workforce to upskill or reskill in several digital data competency areas. There will be a total of four workshops, each will run over three or four half days or two full days in September, October, November and December. The workshops are highly interactive and will be delivered primarily remotely, via Zoom. The November workshop is running in person. The courses are free for all eligible applicants, which include those in the Scottish workforce or jobseekers in Scotland.
More information about the programme and funding eligibility can be found here: https://www.ed.ac.uk/bayes/skills-and-talent/dusc.
Course overview:
Data Carpentry workshops teach fundamental data skills needed for anyone who works with data and datasets. These workshops focus on the introductory computational skills needed for data management and analysis. The model is based on a community of certified instructors who teach at the workshops, and contributors who maintain the lesson materials. The instructors come from a range of backgrounds and are often researchers with sound experience in working with data.
The lesson materials are all available under a CC-BY license and maintained by the community itself. They are modular, allowing for the provision of slightly different workshops, depending on the attendees’ needs.
We create a friendly environment for learning to empower researchers and enable data-driven good practices.
See available courses below. Registrations are found on each of the links, and the first is only a few weeks away.
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Workshop 1 (online): September 12-14, 10:00-15:00: Data Carpentry: Data Cleaning and Organising with Python: https://www.ed.ac.uk/bayes/skills-and-talent/dusc/courses/data-cleaning-and-organising-with-python
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Workshop 2 (online): October 10-12, 10:00-15:00: Data Carpentry: Data Cleaning and Organising with R: https://www.ed.ac.uk/bayes/skills-and-talent/dusc/courses/data-cleaning-and-organising-with-r
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Workshop 3 (in-person): November 13-14, 10:00-17:00: Introduction to Machine Learning: https://www.ed.ac.uk/bayes/skills-and-talent/dusc/courses/introduction-to-machine-learning
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Workshop 4 (online): December 5-8, 10:00-15:00: Data Carpentry - R, Regular Expressions, SQL: https://www.ed.ac.uk/bayes/skills-and-talent/dusc/courses/data-cleaning-and-organising-with-r-december
Any questions, please contact the course administrator Lucie Woellenstein (This email address is being protected from spambots. You need JavaScript enabled to view it.) for questions about the courses or This email address is being protected from spambots. You need JavaScript enabled to view it. for registration questions.
Prerequisites:
No prerequisite knowledge is needed for courses in September, October or December. Some working knowledge of Python is preferrable for the course in November. Courses will be easier for people with basic knowledge of computers.