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Human resource analytics: theory and application techniques

By: Material type: TextTextPublication details: Cengage Learning India Pvt. Ltd. New Delhi 2021Description: xv, 342 pISBN:
  • 9789353505295
Subject(s): DDC classification:
  • 658.3 SWA
Summary: This textbook is a complete handbook of the technical know-how used in HR analytics for boosting organizational effectiveness. Human Resource Analytics covers all the major aspects of HR analytics and provides a deep understanding of different statistical tools and their applications in human resource management. Loaded with concrete theory, diverse application techniques, and a variety of case examples and critical-thinking activities, this book is mandatory for management students and professionals aiming to gain expertise in the data analysis domain.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Book Book Bodh Gaya General Stacks HR&OB 658.3 SWA (Browse shelf(Opens below)) 1 Available IIMG-003480
Book Book Jammu General Stacks Non-fiction 658.3 DHI (Browse shelf(Opens below)) Available IIMJ-5330
Book Book Jammu General Stacks Non-fiction 658.3 DHI (Browse shelf(Opens below)) Available IIMJ-5329
Total holds: 0

Table of Contents 1. Introduction to HR Analytics 2. Data Preparation and Development of Metrics 3. Basic Statistics 4. Descriptive and Diagnostic Analytics 5. Talent Analytics: Understanding the Problems in Various HR Functions 6. Applications of Various Techniques in Different HR Functions 7. Using Appropriate Qualitative Techniques-I 8. Using Appropriate Qualitative Techniques-II

This textbook is a complete handbook of the technical know-how used in HR analytics for boosting organizational effectiveness. Human Resource Analytics covers all the major aspects of HR analytics and provides a deep understanding of different statistical tools and their applications in human resource management. Loaded with concrete theory, diverse application techniques, and a variety of case examples and critical-thinking activities, this book is mandatory for management students and professionals aiming to gain expertise in the data analysis domain.

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