The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. 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.

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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.


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Offers a practical approach to leverage big data and AI for new value creation Compiles detailed examples and cases on data science and its applications Provides discussion questions at the end of each chapter for classroom use
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Produktdetaljer

ISBN
9783031195563
Publisert
2024-03-26
Utgiver
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Upper undergraduate, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet