School of data seeks recruit to create Data Wrangling 101 course
One the wrangler’s first tasks will be to help create a series of learning challenges for a Data Wrangling 101 course – including finding, retrieving, cleaning, manipulation, analysis and representation of different types of data.
The school – a joint venture between the Open Knowledge Foundation and Peer 2 Peer University (P2PU) announced in February – aims to provide flexible, on-demand, shorter learning options for people who are actively working in areas that benefit from data skills. It says there is a particular need amongst people who have already left formal education.
The school will adopt the successful peer-to-peer learning model established by P2PU and Mozilla in their ‘School of Webcraft’ partnership. Learners will progress by taking on ‘learning challenges’ – a series of structured, achievable tasks, designed to promote collaborative and project-based learning.
As learners progress, their achievements will be assessed and recognised with badges. Community support and on-demand mentoring will also be available for those who need it.
With funding secured from the Open Society Foundations (OSF) and the Shuttleworth Foundation, the school’s next challenges are:
- To promote Data Wrangling 101 to potential participants.
- To recruit community leaders to act as ‘mentors’, providing community support and on-demand mentoring for those who need it.
- To curate, update and extend the existing manuals and reference materials such as the Open Data Handbook and the Data Patterns Handbook.
- To design and implement assessments which evaluate achievements and establish credentials for the relevant skills and competencies.
- To openly license all education content (challenges, manuals, references and materials) so that anyone can use, modify and re-use it, including instructors and learners in formal education.
The school is also seeking volunteers to help design educational materials, mentor and donate funds.
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