Bayes Centre event: Data Skills Workforce Development - Upskill in The Field Of Digital Data
About this event:
- Date: 31st May 2022
- Time: 11:00 – 12:30
- Duration: 1 hour and 30 minutes
- Audience: All Staff
- Digital Capability: Information, Data and Media Literacy
- Booking Link: https://edin.ac/3LVdxo8
Event Overview
Hosted by the Bayes Centre, the Data Skills Workforce Development portfolio is a collection of short courses aimed at training the Scottish workforce looking to upskill, or those seeking a return to work in a new area. The aim is to make this online learning accessible to the broadest range of people, including those distanced from learning and/or the labour market. The portfolio includes a series of non-credit-bearing workshops and courses and credit-bearing courses which can be used towards follow-on degrees where credits are relevant and accepted. Places on these courses are fully funded to those who meet specific eligibility criteria. Further information can be found at our website https://www.ed.ac.uk/bayes/about-us/education/workforce-development
This session will advertise a snapshot of some of their courses to staff as well as encourage those who might be interested in offering a course to the portfolio. A member of the programme team will give a short 5 minute introduction to the portfolio followed by 10 minute presentations from some of our Course Leads, who will give a high level overview of their courses and the benefits of being involved with the portfolio. We will end with a short Q&A
About The Presenter - Fraser Pullar
Fraser is the Bayes Educations Programmes Manager overseeing the development and delivery of the Data Science, Technology and Innovation Postgraduate Taught programmes and the Data Skills Workforce Development portfolio which aims to upskill the Scottish workforce in the field of digital data. Fraser joined the university in 2011 and has worked on a number of online learning initiatives across the University, previously with the Farr Institute within CMVM, and the School of Informatics.