ID - 131914184 TI - Data Science for Entrepreneurship AU - Liebregts, Werner AU - Van den Heuvel, Willem-Jan AU - van den Born, Arjan AU - SpringerLink (Online service) PY - 2023 SN - 9783031195549 9783031195532 9783031195556 9783031195563 PB - Cham Springer International Publishing :Imprint: Springer DB - UniCat KW - Business policy KW - Organization theory KW - Business management KW - Information systems KW - Computer. Automation KW - ICT (informatie- en communicatietechnieken) KW - organisatiemanagement KW - bedrijfseconomie KW - ondernemingsstrategieën KW - bedrijven KW - management KW - organisatiecultuur KW - ondernemen KW - gegevensanalyse KW - informatica management UR - https://www.unicat.be/uniCat?func=search&query=sysid:131914184 AB - 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. ER -