Graduate Certificate in Advanced HR Analytics and Systems
-- ViewingNowThe Graduate Certificate in Advanced HR Analytics and Systems is a career-boosting course designed for HR professionals seeking to master data-driven decision making. This program addresses the increasing industry demand for HR specialists with advanced analytical skills, providing a solid foundation in HR systems, analytics, and strategic decision making.
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⢠Advanced HR Metrics and Analytics: This unit will cover the measurement and analysis of HR data to inform strategic decision-making, including workforce analytics, talent analytics, and predictive analytics.
⢠HR Systems and Technology: This unit will cover the design, implementation, and management of HR systems, including HRIS, talent management systems, and analytics platforms.
⢠Data Visualization and Reporting: This unit will cover the presentation of HR data and analytics to stakeholders, including data visualization techniques and dashboard design.
⢠Advanced Statistical Analysis for HR: This unit will cover the application of advanced statistical techniques to HR data, including regression analysis, correlation, and hypothesis testing.
⢠Change Management and HR Analytics: This unit will cover the role of HR analytics in driving organizational change, including managing resistance, communication strategies, and measuring impact.
⢠HR Analytics and Strategic Workforce Planning: This unit will cover the use of HR analytics in workforce planning, including forecasting, succession planning, and talent management.
⢠Legal and Ethical Considerations in HR Analytics: This unit will cover the legal and ethical implications of HR analytics, including data privacy, bias, and transparency.
⢠Predictive Analytics in HR: This unit will cover the use of predictive analytics in HR, including forecasting turnover, identifying high-potential employees, and predicting engagement levels.
⢠HR Analytics and Diversity, Equity, and Inclusion: This unit will cover the role of HR analytics in promoting diversity, equity, and inclusion, including measuring diversity metrics, identifying bias, and promoting fairness.
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