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Using R in HR Analytics: A Practical Guide to Analysing People Data - Paperback
$90.27
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by Martin Edwards (Author), Kirsten Edwards (Author), Daisung Jang (Author)
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.Author Biography
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.
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Standard U.S. returns are accepted for eligible new, unopened items within 30 days of carrier delivery. Returns are by mail. Customers are responsible for standard return shipping, there is no restocking fee, and standard exchanges are not offered. Once an approved return is received and inspected, the refund is issued to the original payment method within 5 business days. Damaged, defective, or incorrect items are handled at no return-shipping cost to the customer.
Return eligibility is subject to the full policy. Opened, read, or unsealed books with broken seals or visible wear are final sale. Digital downloads, gift cards, and personalized products are non-refundable. Original shipping charges are not refunded for standard returns. Contact us within 7 days of delivery about damaged, defective, or incorrect items.
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