"Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. Building on familiar content from applied eco...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Matter, Ulrich (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Abingdon Chapman & Hall 2024
Ausgabe:	First edition
Schriftenreihe:	Chapman & Hall/CRC data science series
Schlagworte:	Big Data Datenanalyse Maschinelles Lernen Big data Machine learning Business / Data processing
Zusammenfassung:	"Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. Building on familiar content from applied econometrics and business analytics, this book introduces the reader to the basic concepts of Big Data Analytics. The focus of the book is on how to productively apply econometric and machine learning techniques with large, complex data sets, as well as on all the steps involved before analysing the data (data storage, data import, data preparation). The book combines conceptual and theoretical material with the practical application of the concepts using R and SQL. The reader will thus acquire the skills to analyse large data sets, both locally and in the cloud. Various code examples and tutorials, focused on empirical economic and business research, illustrate practical techniques to handle and analyse Big Data. The book is a valuable resource for data science practitioners, graduate students and researchers who aim to gain insights from big data in the context of research questions in business, economics, and the social sciences"--
Beschreibung:	xviii, 309 Seiten Illustrationen, Diagramme
ISBN:	9781032457550 9781032458144