9 Simple recommendations for teaching data skills. / Shanahan, Hugh.

In: Data Science Journal, 16.04.2019.

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9 Simple recommendations for teaching data skills. / Shanahan, Hugh.

In: Data Science Journal, 16.04.2019.

Research output: Contribution to journalArticlepeer-review

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Shanahan, H. (2019). 9 Simple recommendations for teaching data skills. Manuscript submitted for publication.

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BibTeX

@article{2d2aef95ec664c778176b7521824107a,
title = "9 Simple recommendations for teaching data skills",
abstract = "Data skills are essential for the research community to make the most of the digital revolution. The design and delivery of teaching in this area can be daunting for individuals who have not delivered such courses. With this in mind, this paper provides a set of simple, actionable recommendations to carry out teaching in this area. In particular we note that there are ample examples of curricula and materials to make use of, that iterative improvement is the best strategy, that technical challenges should be prepared for and that one should consider the longer term perspectives on these activities.",
author = "Hugh Shanahan",
year = "2019",
month = apr,
day = "16",
language = "English",
journal = "Data Science Journal",
issn = "1683-1470",
publisher = "Committee on Data for Science and Technology",

}

RIS

TY - JOUR

T1 - 9 Simple recommendations for teaching data skills

AU - Shanahan, Hugh

PY - 2019/4/16

Y1 - 2019/4/16

N2 - Data skills are essential for the research community to make the most of the digital revolution. The design and delivery of teaching in this area can be daunting for individuals who have not delivered such courses. With this in mind, this paper provides a set of simple, actionable recommendations to carry out teaching in this area. In particular we note that there are ample examples of curricula and materials to make use of, that iterative improvement is the best strategy, that technical challenges should be prepared for and that one should consider the longer term perspectives on these activities.

AB - Data skills are essential for the research community to make the most of the digital revolution. The design and delivery of teaching in this area can be daunting for individuals who have not delivered such courses. With this in mind, this paper provides a set of simple, actionable recommendations to carry out teaching in this area. In particular we note that there are ample examples of curricula and materials to make use of, that iterative improvement is the best strategy, that technical challenges should be prepared for and that one should consider the longer term perspectives on these activities.

M3 - Article

JO - Data Science Journal

JF - Data Science Journal

SN - 1683-1470

ER -