The Fundamentals of People Analytics: With Applications in R

This book prepares current and aspiring analytics professionals to effectively address the need for human capital analytics by curating key concepts and step-by-step instructions for their applications to real-world problems using open-source software.

Format: Hardback
Length: 380 pages
Publication date: 08 September 2023
Publisher: Springer International Publishing AG

This open-access book is a valuable resource for current and aspiring analytics professionals looking to address the growing demand for data-driven decision-making. By curating key concepts spanning the entire analytics lifecycle and providing step-by-step instructions for their applications to real-world problems, the book equips readers with the skills they need to succeed in this field.

The book does not assume prior knowledge of statistics, database querying, or code writing, making it accessible to a wide range of readers. Early chapters provide an introduction to R and SQL, as well as an overview of statistical foundations, to help readers build a strong foundation for data analysis.

Throughout the book, readers are guided through practical examples and case studies, demonstrating how analytics can be used to solve business challenges and drive growth. Topics covered include data visualization, predictive modeling, text analysis, and machine learning, among others.

One of the key strengths of the book is its emphasis on using ubiquitous and freely available open-source software, such as R and SQL, to perform data analysis. This approach not only makes analytics more accessible but also promotes a culture of collaboration and sharing among data professionals.

By the end of this book, readers will have the skills and knowledge needed to design and conduct empirical research, query and wrangle data using SQL, profile, clean, and analyze data using R, apply appropriate statistical and machine learning models to a range of people analytics use cases, and package and present analyses to communicate impactful insights to stakeholders.

Whether you are a business analyst, data scientist, HR professional, or someone interested in leveraging data to drive organizational change, this book is a must-read for anyone looking to advance their analytics skills and expertise.

Weight: 758g
Dimension: 163 x 242 x 29 (mm)
ISBN-13: 9783031286735
Edition number: 1st ed. 2023