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E-grāmata: Using R in HR Analytics: A Practical Guide to Analysing People Data

  • Formāts: 480 pages
  • Izdošanas datums: 03-Oct-2024
  • Izdevniecība: Kogan Page Ltd
  • Valoda: eng
  • ISBN-13: 9781398618268
  • Formāts - PDF+DRM
  • Cena: 47,58 €*
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  • Formāts: 480 pages
  • Izdošanas datums: 03-Oct-2024
  • Izdevniecība: Kogan Page Ltd
  • Valoda: eng
  • ISBN-13: 9781398618268

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Confidently analyse your organization's HR data using R and R Studio to gain insights that improve people strategy and business decision-making.

Effective use of HR data has the power to transform a business. However, this is only possible if HR practitioners have the knowledge, skills and confidence to analyse the data and to draw evidence-based insights from it. This book is the practical guide that HR professionals need. Through worked examples, this book shows readers how to carry out and interpret analyses of HR data in areas such as recruitment, performance, employee engagement and diversity. People professionals are then shown how to use the results to develop robust people strategies and to support more effective evidence-based decision-making.

Using R in HR Analytics provides a thorough grounding in the differences between descriptive reporting and predictive analytics as well as the methods and measures used to identify the validity of results. There is also expert guidance on the role of artificial intelligence, machine learning and large language modelling on HR analytics. Written for HR professionals at any level, there is essential coverage of data privacy and the ethical considerations of using people data. Online resources include sample datasets to allow readers to practice analysing HR data.



Understand how to use R and R Studio to analyse HR data and deliver insights that drive workforce and business performance.

Recenzijas

"Using R in HR Analytics seamlessly bridges the gap between data science and human resources. Brimming with practical examples and case studies, this is an essential guide for understanding and applying statistical techniques in HR. An indispensable resource for anyone looking to enhance their HR practice through the power of analytics." * Sally Smith, Head of People Analytics, National Australia Bank * "A core element of HR analytics is statistical analysis properly applied to data about people and HR processes. This essential book provides a uniquely valuable contribution for practitioners working in HR analytics: practical case studies that apply the correct multivariate models coupled with the code needed to run your own analyses." * Alec Levenson, Senior Research Scientist, Center for Effective Organizations, Marshall School of Business, University of Southern California * "Using R in HR Analytics is a powerful guide for anyone seeking to unlock the full potential of R software to generate impactful HR insights. Kirsten, Martin, and Daisung masterfully provide end-to-end worked examples of common HR challenges, making complex concepts both accessible and practical. A must-read for anyone aiming to elevate their HR analytics game." * Greg Newman, People Analytics - Human Capital, Deloitte Consulting Pty Ltd * "Once again, Edwards, Edwards and Jang have enriched the burgeoning field of people analytics with Using R in HR Analytics. Having a version of their hugely successful Predictive HR Analytics book that is dedicated to R users extends the potential for a wider group of students and professionals to embrace the field. As such, Using R in HR Analytics is an important book for the future and continued growth of people analytics." * David Green, Managing Partner at Insight222, co-author of Excellence in People Analytics, host of the Digital HR Leaders podcast *

**
Chapter - 01: Understanding HR analytics; **
Chapter - 02: HR information systems and data; **
Chapter - 03: Analysis strategies; **
Chapter - 04: Diversity analytics; **
Chapter - 05: Predicting employee turnover; **
Chapter - 06: Predicting employee performance; **
Chapter - 07: Recruitment and selection analytics; **
Chapter - 08: Monitoring the impact of interventions; **
Chapter - 09: Business applications of HR Analytics; **
Chapter - 10: Artificial intelligence, machine learning and large language models (LLMs) **
Chapter - 11: Data security and identity management; **
Chapter - 12: Ethics and limitations of HR analytics
Martin R Edwards is a Professor in Management in the Business School at the University of Queensland, Australia; he has taught HR and also statistics for over 25 years. Kirsten Edwards is Global Head of People Data and Insights at Rio Tinto. She has over 20 years' broad international experience in analytics, HR and management consulting. She is based in Queensland. Daisung Jang has over 10 years' experience of data analysis and is an expert on R. He is Assistant Professor at Melbourne Business School, Australia.