People / HR Analytics • Where Data Science meets HR • Where HR Management and Decision Making can be based on, driven by, and transformed by data For many, if not most HR professionals in organizations - this is NOT HR ‘business as usual’. “Doing HR Analytics - A Practitioner’s Handbook With R Examples” seeks to cut through the jargon and hype that currently accompanies the current state of this field. It provides the reader with good foundational definitions and concepts, a suggested ‘known’ analytics framework, and practical illustrative examples of how to make use of analytics to address typical HR issues. Its purpose is to get you to think informationally about ‘all’ of HR. The enclosed examples just ‘scratch the surface’ of what is possible.
A practical guide for practitioners who wish to implement HR analytics but are new to data science and analytics, this book is a good starting point. It steps the reader through a number of examples, where the analysis done using R on public domain data from Kaggle. Though users may find the R code useful and practical, one the other side the book does not discuss the theory and assumption behind either the statistical or machine learning techniques used.