The Fundamentals of People Analytics: With Applications in R - Hardcover

Starbuck, Craig

Hardcover

ISBN 10: 3031286731 ISBN 13: 9783031286735

Verlag: Springer, 2023

Inhaltsangabe

This open access book prepares current and aspiring analytics professionals to effectively address this need by curating key concepts spanning the entire analytics lifecycle, along with step-by-step instructions for their applications to real-world problems, using ubiquitous and freely available open-source software. This book does not assume prior knowledge of statistics, how to query databases, or how to write performant code; early chapters include an introduction to R and SQL as well as an overview of statistical foundations.

Human capital is an organization's most important asset. Without the knowledge and skills of people, an organization can accomplish nothing. The acquisition, development, and retention of critical talent has become increasingly more complex and challenging, and organizations are making significant investments to gain a deeper, data-informed understanding of organizational phenomena impacting the bottom line. 

By the end of this book, readers will be able to:
• Design and conduct empirical research
• Query and wrangle data using SQL
• Profile, clean, and analyze data using R
• Apply appropriate statistical and ML models to a range of people analytics use cases
• Package and present analyses to communicate impactful insights to stakeholders

Über diesen Titel

Über die Autorin bzw. den Autor

Craig Starbuck is a leading expert in people analytics, who has built and led successful people analytics teams at Roku, Robinhood, Mastercard, Equifax, and TD Ameritrade, after spending a decade in various data engineering and analytics positions in the banking and health care industries. He is the Co-Founder and Chief Data Scientist at OrgAcuity, a tech company with a mission to democratize access to people analytics, and a Member of the Society for Industrial and Organizational Psychology (SIOP).

Von der hinteren Coverseite

Human capital is an organization’s most important asset. Without the knowledge and skills of people, an organization can accomplish nothing. The acquisition, development, and retention of critical talent has become increasingly more complex and challenging, and organizations are making significant investments to gain a deeper, data-informed understanding of organizational phenomena impacting the bottom line. 

This book prepares current and aspiring analytics professionals to effectively address this need by curating key concepts spanning the entire analytics lifecycle, along with step-by-step instructions for their applications to real-world problems, using ubiquitous and freely available open-source software. This book does not assume prior knowledge of statistics, how to query databases, or how to write performant code; early chapters include an introduction to R and SQL as well as an overview of statistical foundations.

By the end of this book, readers will be able to:
• Design and conduct empirical research
• Query and wrangle data using SQL
• Profile, clean, and analyze data using R
• Apply appropriate statistical and ML models to a range of people analytics use cases
• Package and present analyses to communicate impactful insights to stakeholders 

This is an open access book.

This comprehensive volume combines relevant people analytics examples, comprehensive treatment of statistical and analytical considerations and approaches, and useful sample code into a readable and relevant package. This is an essential guide for those in the People Analytics space looking to build their analytical capabilities.

- Alexis Fink, PhD, VP of People Analytics & Workforce Strategy @ Meta

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 3031286731
• ISBN 13: 9783031286735
• Einband: Tapa dura
• Auflage: 1
• Anzahl der Seiten: 398
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Deutschland