Navigating Diverse Data Science Learning:Critical Reflections Towards Future Practice

Elkhatib, Yehia (2017) Navigating Diverse Data Science Learning:Critical Reflections Towards Future Practice. In: Cloud Computing Technology and Science (CloudCom), 2017 IEEE International Conference on. IEEE, pp. 357-362. ISBN 9781538606933

[img]
PDF (2017.12_dtw)
2017.12_dtw.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (169kB)

Abstract

Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some learned lessons that are of relevance to others teaching Data Science.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Subjects:
ID Code:
88311
Deposited By:
Deposited On:
18 Oct 2017 12:30
Refereed?:
Yes
Published?:
Published
Last Modified:
06 Aug 2020 07:14