Data Skills workforce development – Upskill in the field of digital data
- 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
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 our courses to staff as well as encouraging 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.
Confirmed Course Leads and course titles are:
Fumi Kitagawa (The Business School) – Technology and Innovation in Organisations AND Innovation-Driven Entrepreneurship (both credit bearing)
Giacomo Peru (Edinburgh Parallel Computing Centre) – Data Carpentry – Data Life Cycle, Data Carpentry – R, Regular Expressions and SQL AND Data Carpentry – Data Organising & Cleaning (all 3 courses are non-credit bearing workshops).
Sukhpreet Singh (Centre for Open Learning) – Introduction to Big Data and Analytics in Marketing (non-credit bearing)
Adam Carter (Edinburgh Parallel Computing Centre) – Practical Introduction to Data Science (credit bearing)
Sharon Levy (Usher Institute/Deanery of Molecular, Genetic and Population Health Sciences) – Health Data Science, Data Ethics and Ownership, Data Visualisation: Knowledge Transfer, Introduction to Software Development in Health and Social Care, Managing and Leading Data-Driven Innovation AND Data Security and Protection in Health and Social Care. (all credit bearing courses)
About the presenter - Teresa Ironside
Working within UoE for nearly 15 years in professional services and student administration management roles, Teresa has led a number of data science training initiatives. This includes development of courses and programmes linked to the Bayes Centre’s Talent remit as part of the Data Driven Innovation (DDI) programme in the City Region Deal. She leads on collaborative work across the University with Schools and DDI Hubs as well as affiliated partners, including the Data Skills Workforce Development portfolio.