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008			230323s2023 sz | o |||| 0|eng d
020			_a9783031195549
024	7		_a10.1007/978-3-031-19554-9 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aHD62.5 _b2024 EB
245	0	0	_aData Science for Entrepreneurship : _bPrinciples and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society _cedited by Werner Liebregts, Willem-Jan van den Heuvel, Arjan van den Born
250			_a1st ed 2023
264		1	_aCham _c2023 _bSpringer International Publishing
300	0	0	_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aClassroom Companion: Business _x2662-2874
505	0		_aThe Unlikely Wedlock Between Data Science and Entrepreneurship -- Data Engineering: Big Data Engineering -- Data Governance -- Big Data Architectures -- Data Engineering in Action -- Data Analytics: Supervised Machine Learning in a Nutshell -- An Intuitive Introduction to Deep Learning -- Sequential Experimentation and Learning -- Advanced Analytics on Complex Industrial Data -- Data Analytics in Action -- Data Entrepreneurship -- Data-Driven Decision Making -- Digital Entrepreneurship -- Strategy in the Era of Digital Disruption -- Digital Servitization in Agriculture -- Entrepreneurial Finance -- Entrepreneurial Marketing -- Data and Society: Data Protection Law and Responsible Data Science -- Perspectives from Intellectual Property Law -- Liability and Contract Issues Regarding Data -- Data Ethics and Data Science -- Value Sensitive Software Design -- Data Science for Entrepreneurship: The Road Ahead. .
520			_aThe fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.
988			_aSpringer_Business_2023
650		7	_2embne _9518184 _aNuevas empresas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-19554-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
998			_b06/2024 _db _ej _zSI