The Data Science Framework

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171,19 

A View from the EDISON Project

ISBN: 3030510220
ISBN 13: 9783030510220
Herausgeber: Juan J Cuadrado-Gallego/Yuri Demchenko
Verlag: Springer Verlag GmbH
Umfang: xiv, 194 S., 4 s/w Illustr., 31 farbige Illustr., 194 p. 35 illus., 31 illus. in color.
Erscheinungsdatum: 02.10.2020
Auflage: 1/2021
Produktform: Gebunden/Hardback
Einband: Gebunden

This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.

Artikelnummer: 9301328 Kategorie:

Beschreibung

This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader.The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to developnew courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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