Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data

This book provides a comprehensive guide to Big Data Analytics,covering econometric and machine learning techniques with R and SQL. It includes code examples and tutorials for practical applications,using real datasets from empirical research. It helps readers gain critical skills to handle and analyze large data sets in business, economics, and the social sciences.

Format: Hardback
Length: 310 pages
Publication date: 04 September 2023
Publisher: Taylor & Francis Ltd

Successfully navigating the data-driven economy requires a deep understanding of the technologies and methods used to extract valuable insights from Big Data. This comprehensive book is designed to assist data science practitioners in successfully transitioning to the realm of Big Data. Building upon familiar content from applied econometrics and business analytics, the book introduces the reader to the fundamental concepts of Big Data Analytics. The central focus of the book lies in teaching readers how to effectively employ econometric and machine learning techniques on large and complex data sets, as well as the various pre-analysis steps involved (such as data storage, import, and preparation). By seamlessly blending conceptual and theoretical material with practical applications of the concepts using R and SQL, the book equips readers with the skills necessary to analyze massive data sets, both locally and in the cloud.

Throughout the text, numerous code examples and tutorials are provided, specifically tailored to empirical economic and business research. These examples and tutorials serve as practical guides, illustrating effective techniques for handling and analyzing Big Data. By presenting real-world scenarios and case studies, the book encourages readers to think critically about the challenges and bottlenecks encountered in practical data analysis tasks involving large data sets. It provides valuable insights into how to address these challenges and optimize efficiency in data analysis processes.

This book is an invaluable resource for data science practitioners, graduate students, and researchers seeking to leverage the power of Big Data to address research questions in business, economics, and the social sciences. Its comprehensive coverage, practical examples, and critical thinking exercises make it an essential guide for anyone looking to stay ahead in the rapidly evolving field of data analytics.

Weight: 766g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032457550