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Understand how to use R and R Studio to analyse HR data and deliver insights that drive workforce and business performance.
List of contents
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;
About the author
Martin R Edwards is Reader in HRM and Organizational Psychology at King's Business School, King's College London. He has taught statistics to undergraduate, postgraduate and PhD students for over 15 years and also teaches HR analytics to MSc students. As a consultant, he has delivered HR analytics workshops to FTSE-100 companies.Kirsten Edwards is Global Head of People Data and Insights at Rio Tinto. She has over 20 years' broad international experience in analytics, HR and management consulting. She is based in Queensland.Daisung Jang is an Assistant Professor at Melbourne Business School. He has over a decade of experience in data visualization and analysis using R. He has conducted workshops for PhD students and academic staff on statistical analyses using R.
