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Using R in Hr Analytics : A Practical Guide to Analysing People Data, Paperba...

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, Like New Used, 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: 56.49 USD

Location: Jessup, Maryland

End Time: 2024-11-08T08:59:22.000Z

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Using R in Hr Analytics : A Practical Guide to Analysing People Data, Paperba...

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Return shipping will be paid by: Buyer

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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: Human Resources & Personnel Management, Business Ethics, Commerce, Databases / Data Mining

Type: Textbook

Item Weight: 27.9 Oz

Author: Martin Edwards, Daisung Jang, Kirsten Edwards

Subject Area: Computers, Business & Economics

Item Length: 9.4 in

Item Width: 6.8 in

Format: Trade Paperback

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