Using R In Hr Analytics
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Using R in HR Analytics
Author: Dr Martin R. Edwards
language: en
Publisher: Kogan Page Publishers
Release Date: 2024-10-03
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.
Predictive HR Analytics
Author: Dr Martin R. Edwards
language: en
Publisher: Kogan Page Publishers
Release Date: 2019-03-03
HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns in order to make effective business decisions. But HR practitioners often lack the statistical and analytical know-how to fully harness the potential of this data. Predictive HR Analytics provides a clear, accessible framework for understanding and working with people analytics and advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples, showing them how to carry out and interpret analyses of HR data in areas such as employee engagement, performance and turnover. Readers are shown how to use the results to enable them to develop effective evidence-based HR strategies. This second edition has been updated to include the latest material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using survival analyses, and up-to-the-minute screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.
The Practical Guide to HR Analytics
Author: Shonna D. Waters
language: en
Publisher: Kogan Page Publishers
Release Date: 2018-06-15
HR professionals are increasingly expected to understand and apply data analytics, but many don't know where to start. The Practical Guide to HR Analytics offers a clear, practical guide to understanding and applying data to real-world HR issues. From making the business case for analytics to launching an HR analytics function, the book walks readers through the forms, uses, and interpretations of data in an HR context. It covers essential topics like avoiding common pitfalls, visualizing data effectively and using storytelling to communicate findings. With straightforward language and actionable advice, it helps demystify analytics for professionals at all levels. Whether you're new to analytics or seeking to sharpen your skills, this is your go-to resource for data-driven HR.