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Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society

Born, Arjan van den(Edited by)Heuvel, Willem-Jan van den(Edited by)Liebregts, Werner(Edited by)Boing-Messing, Florian(Volume editor)Heuvel, Willem-Jan Van den(Volume editor)Lafarre, Anne J. F.(Volume editor)Liebregts, Werner(Volume editor)Tamburri, Damian A.(Volume editor)
Part of the Classroom Companion. Business series
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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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£69.99
Product Details
303119554X / 9783031195549
eBook (EPUB)
23/03/2023
Switzerland
English
1 pages
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