Understand how to use R and R Studio to analyse HR data and deliver insights that drive workforce and business performance.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Martin R Edwards is a Professor in Management in the Business School at the University of Queensland, Australia; he has taught HR and also statistics for over 25 years. Kirsten Edwards is Global Head of People Data and Analytics at Rio Tinto. She has over 20 years' broad international experience in analytics, HR and management consulting. She is based in Queensland. Daisung Jang has over 10 years' experience of data analysis and is an expert on R. He is Assistant Professor at Melbourne Business School, Australia.
Inhaltsangabe
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;
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;
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