Using R in Hr Analytics: A Practical Guide to Analysing People Data - Rilegato

Edwards, Martin; Edwards, Kirsten; Jang, Daisung

Rilegato

ISBN 10: 1398618276 ISBN 13: 9781398618275

Casa editrice: Kogan Page Ltd, 2024

Riassunto

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.

Su questo libro

Informazioni sull?autore

Martin R Edwards is an Associate Professor in Management and Deputy Head of the Business School at University of Queensland, Australia.

Kirsten Edwards is Global Head of People Data and Analytics at Rio Tinto. She has over 20 years' broad international experience in analytics, HR and management consulting, based in Queensland, Australia.

Daisung Jang has over 10 years' experience of data analysis and is an expert on R. He is a lecturer in UQ Business School, University of Queensland, Australia.

Dettagli dell'edizione

• Editore: Kogan Page Ltd
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 1398618276
• ISBN 13: 9781398618275
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 304
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile