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Data Science for Entrepreneurship

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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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Detail Information

Series Title

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Call Number

650.1

Publisher

Springer Cham : Springer Cham., 2023

Collation

Business Management

Language

English

ISBN/ISSN

978-3-031-19554-9

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Business and management
Technology Management
Innovation/Technology Management

Specific Detail Info

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Statement of Responsibility

Werner Liebregts

Other Information

Cataloger

Suwardi

Source

https://link.springer.com/book/10.1007/978-3-031-19554-9

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