E-Book, Englisch, 214 Seiten, Electronic book text, Format (B × H): 152 mm x 229 mm
Fallahchay Data Science for Business and Decision Making
Erscheinungsjahr 2020
ISBN: 978-1-77407-813-6
Verlag: Arcler Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
An Introductory Text for Students and Practitioners
E-Book, Englisch, 214 Seiten, Electronic book text, Format (B × H): 152 mm x 229 mm
ISBN: 978-1-77407-813-6
Verlag: Arcler Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
This book explores the principles underpinning data science. It considers the how and why of modern data science. The book goes further than existing books by applying data to decision making. Not only is the book useful for undergraduates, but it can also help business owners in improving their decision making. Using real life examples, this book explores the possibilities and limitations of an information-based decision making framework.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
- Chapter 1: Introduction to Data Science
- Chapter 2: Peripatetic and Amalgamated Uses of Methodologies
- Chapter 3: The Changing Face of Data Science
- Chapter 4: Statistical Applications of Data Science
- Chapter 5: The Future of Data Science
- Chapter 6: The Data Science Curriculum
- Chapter 7: Ethical Considerations in Data Science
- Chapter 8: How Data Science Supports Business Decision-Making