Using R in HR Analytics: A Practical Guide to Analysing People Data by Dr Martin

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Zuletzt aktualisiert am 10. Dez. 2025 13:18:25 MEZAlle Änderungen ansehenAlle Änderungen ansehen

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ISBN-13
9781398618251
Book Title
Using R in HR Analytics
ISBN
9781398618251
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Kogan Page, The Limited
ISBN-10
139861825X
ISBN-13
9781398618251
eBay Product ID (ePID)
11064601394

Product Key Features

Number of Pages
480 Pages
Language
English
Publication Name
Using R in HR Analytics : a Practical Guide to Analysing People Data
Subject
Human Resources & Personnel Management, Commerce, Databases / Data Mining, Organizational Development
Publication Year
2024
Type
Textbook
Subject Area
Computers, Business & Economics
Author
Martin Edwards, Daisung Jang, Kirsten Edwards
Format
Trade Paperback

Dimensions

Item Height
1.1 in
Item Weight
27.9 Oz
Item Length
9.4 in
Item Width
6.7 in

Additional Product Features

Intended Audience
College Audience
LCCN
2024-035274
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 Edition
23
Illustrated
Yes
Dewey Decimal
658.3002855133
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;
Synopsis
Understand 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 Number
HF5549.5.D37E3 2024

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