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Title Data science for entrepreneurship : principles and methods for data engineering, analytics, entrepreneurship, and the society / Werner Liebregts, Willem-Jan van den Heuvel, Arjan van den Born, editors
Published Cham, Switzerland : Springer, [2023]

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Description 1 online resource (xiv, 532 pages) : illustrations (black and white, and colour)
Series Classroom companion: Business, 2662-2874
Classroom companion. Business. 2662-2874
Contents The 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
Summary The 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
Bibliography Includes bibliographical references
Notes Description based on online resource; title from digital title page (viewed on August 07, 2023)
Subject Entrepreneurship -- Data processing
Entrepreneurship.
New business enterprises.
Big data.
Business.
entrepreneurs.
Big data
Business
Entrepreneurship
New business enterprises
Form Electronic book
Author Liebregts, Werner, editor
Heuvel, Willem-Jan van den, editor.
Born, Arjan van den, editor
ISBN 303119554X
9783031195549