HR Analytics: Bridging Theory and Practice
1st Edition
9364442865
·
9789364442862
© 2025 | Published: July 12, 2025
Overview:The objective of this book is to probe into the dynamic and emerging field of HR Analytics, explaining its principles, methodologies, and applications in understanding and optimizing human capital management. Targeted at students, academicia…
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Chapter 1 Introduction to HR Analytics
Chapter 2 HR Metrics
Chapter 3 Data Visualization
Chapter 4 Predictive Analytics
Chapter 5 Manpower Planning
Chapter 6 Recruitment Analytics
Chapter 7 Attrition Analytics
Chapter 8 Training and Development Analytics
Chapter 9 Performance Analytics
Chapter 10 Compensation and Benefits Analytics
Chapter 11 Organizational Network Analytics (Group Dynamics)
Chapter 12 Emotion and Sentiment Analysis and Gen AI Applications
Chapter 13 Advanced People Analytics using Machine Learning and Artificial Intelligence
Chapter 14 Diversity Analytics (Online Chapter)
Chapter 2 HR Metrics
Chapter 3 Data Visualization
Chapter 4 Predictive Analytics
Chapter 5 Manpower Planning
Chapter 6 Recruitment Analytics
Chapter 7 Attrition Analytics
Chapter 8 Training and Development Analytics
Chapter 9 Performance Analytics
Chapter 10 Compensation and Benefits Analytics
Chapter 11 Organizational Network Analytics (Group Dynamics)
Chapter 12 Emotion and Sentiment Analysis and Gen AI Applications
Chapter 13 Advanced People Analytics using Machine Learning and Artificial Intelligence
Chapter 14 Diversity Analytics (Online Chapter)
Overview:
The objective of this book is to probe into the dynamic and emerging field of HR Analytics, explaining its principles, methodologies, and applications in understanding and optimizing human capital management. Targeted at students, academicians, professionals, and researchers, in the fields of human resources, organizational psychology, and business management, this book aims to provide a comprehensive overview of HR Analytics, from its theoretical foundations to practical implementation strategies. By highlighting the transformative potential of leveraging data to inform HR practices,
the book seeks to inspire students in the adoption of HR Analytics tools and techniques across different HR functions. Moreover, with a goal to incorporate the latest GenAI, AI and Machine Learning influence in the HR domain, specific topic(s) are curated for the benefit of students and academicians.
Key Features:
- Comprehensive topical coverage with case studies related to various HR Analytics functions.
- Bridge the gap between theory and applications, using appropriate tools like Excel, Power BI, Python, etc.
- Step-by-step explanation of various basic concepts like connecting to data sources, importing & transforming data, etc.
- Contains important and latest topics such as Organization Network Analytics, Emotion and Sentiment Analysis and Gen
- AI Applications, and Advanced HR Analytics using Machine Learning and AI
The objective of this book is to probe into the dynamic and emerging field of HR Analytics, explaining its principles, methodologies, and applications in understanding and optimizing human capital management. Targeted at students, academicians, professionals, and researchers, in the fields of human resources, organizational psychology, and business management, this book aims to provide a comprehensive overview of HR Analytics, from its theoretical foundations to practical implementation strategies. By highlighting the transformative potential of leveraging data to inform HR practices,
the book seeks to inspire students in the adoption of HR Analytics tools and techniques across different HR functions. Moreover, with a goal to incorporate the latest GenAI, AI and Machine Learning influence in the HR domain, specific topic(s) are curated for the benefit of students and academicians.
Key Features:
- Comprehensive topical coverage with case studies related to various HR Analytics functions.
- Bridge the gap between theory and applications, using appropriate tools like Excel, Power BI, Python, etc.
- Step-by-step explanation of various basic concepts like connecting to data sources, importing & transforming data, etc.
- Contains important and latest topics such as Organization Network Analytics, Emotion and Sentiment Analysis and Gen
- AI Applications, and Advanced HR Analytics using Machine Learning and AI