Description: Using R in Hr Analytics : A Practical Guide to Analysing People Data, Paperback by Edwards, Martin; Edwards, Kirsten; Jang, Daisung, ISBN 139861825X, ISBN-13 9781398618251, Brand New, Free shipping in the US 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.
Price: 56.42 USD
Location: Jessup, Maryland
End Time: 2024-12-08T08:59:18.000Z
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Book Title: Using R in Hr Analytics : A Practical Guide to Analysing People D
Number of Pages: 480 Pages
Language: English
Publication Name: Using R in HR Analytics : a Practical Guide to Analysing People Data
Publisher: Kogan Page, The Limited
Publication Year: 2024
Item Height: 1.1 in
Subject: Business Ethics, Commerce, Databases / Data Mining, Organizational Development
Item Weight: 27.9 Oz
Type: Textbook
Item Length: 9.4 in
Author: Martin Edwards, Daisung Jang, Kirsten Edwards
Subject Area: Computers, Business & Economics
Item Width: 6.8 in
Format: Trade Paperback
