About this product

Product Identifiers

PublisherKogan Page, The Limited

ISBN-10139861825X

ISBN-139781398618251

eBay Product ID (ePID)11064601394

Product Key Features

Number of Pages480 Pages

LanguageEnglish

Publication NameUsing R in HR Analytics : a Practical Guide to Analysing People Data

SubjectHuman Resources & Personnel Management, Commerce, Databases / Data Mining, Organizational Development

Publication Year2024

TypeTextbook

Subject AreaComputers, Business & Economics

AuthorMartin Edwards, Daisung Jang, Kirsten Edwards

FormatTrade Paperback

Dimensions

Item Height1.1 in

Item Weight27.9 Oz

Item Length9.4 in

Item Width6.7 in

Additional Product Features

Intended AudienceCollege Audience

LCCN2024-035274

Reviews 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., 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., 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., 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.

Dewey Edition23

IllustratedYes

Dewey Decimal658.3002855133

Table Of Content** Chapter - 01: Understanding HR analytics; ** Chapter - 02: HR information systems and data; ** Chapter - 03: Analysis strategies; ** Chapter - 04: Case study 1: Diversity Analytics; ** Chapter - 05: Case study 2: Employee attitude surveys - engagement and workforce perceptions; ** Chapter - 06: Case study 3: Predicting employee turnover; ** Chapter - 07: Case study 4: Predicting employee performance; ** Chapter - 08: Case study 5: Recruitment and selection analytics; ** Chapter - 09: Case study 6: Monitoring the impact of interventions; ** Chapter - 10: Business applications: Scenario modelling and business cases; ** Chapter - 11: More advanced HR analytic techniques; ** Chapter - 12: Reflection on HR analytics: Usage, ethics and limitations;

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

LC Classification NumberHF5549.5.D37E3 2024