Predictive Analytics in Human Resource Management

A Hands-on Approach

By: Shivinder Nijjer, Sahil Raj

Write A Review

eText | 3 December 2020 | Edition Number 1

At a Glance

Format
ePUB

eText

$108.89

or 4 interest-free payments of $27.22 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making.

The book:

Presents key concepts and expands on the need and role of HR analytics in business management.
Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening.
Discusses real-world corporate examples and employee data collected first-hand by the authors.
Includes individual chapter exercises and case studies for students and teachers.

Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming.