The Open UniversitySkip to content
 

The European Data Science Academy: Bridging the Data Science Skills Gap with Open Courseware

Mikroyannidis, Alexander; Domingue, John; Phethean, Christopher; Beeston, Gareth and Simperl, Elena (2017). The European Data Science Academy: Bridging the Data Science Skills Gap with Open Courseware. In: Open Education Global Conference 2017, 8-10 Mar 2017, Cape Town, South Africa.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (5MB) | Preview
URL: http://conference.oeconsortium.org/2017/presentati...
Google Scholar: Look up in Google Scholar

Abstract

As a global society, we are producing data at an incredible rate, fuelled by the increasing ubiquity of the Web, and stoked by social media, sensors, and mobile devices. However, as the amount of produced data continues to increase, so does the demand for practitioners who have the necessary skills to manage and manipulate this data. The European Data Science Academy (EDSA) is looking to bridge the data science skills gap by developing multimodal open courseware tailored to the real needs of data practitioners. The EDSA courseware is implemented as a combination of living learning materials and activities (eBook, online courses, webinars, face-to-face training), produced via a rigorous process and validated by the data science community through continuous feedback.

Item Type: Conference or Workshop Item
Keywords: data science; open courseware; Open Educational Resources; Massive Open Online Courses
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 49734
Depositing User: Kay Dave
Date Deposited: 04 Jul 2017 15:34
Last Modified: 02 Nov 2017 08:27
URI: http://oro.open.ac.uk/id/eprint/49734
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU