People | Workforce | Predictive Metrics | Talent KPIs | Dashboard | Data Insights | Reporting | AI | Scorecard | Excel
What you will learn
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Understand HR analytics fundamentals and its role in solving business problems.
Learn to calculate Employee Lifetime Value (ELV) and maximize employee impact.
Master recruitment, performance, and turnover analytics for better decisions.
Apply advanced techniques like regression analysis and forecasting in HR.
Utilize predictive HR analytics models to forecast employee retention, performance, and turnover trends.
Leverage people analytics tools for data-driven workforce planning and resource allocation.
Conduct advanced HR data visualization to present actionable insights to leadership.
Optimize recruitment strategies using data-driven recruitment analytics and funnel analysis.
Automate the calculation of essential HR metrics for real-time performance monitoring.
Implement advanced statistical methods, such as correlation analysis, to improve HR decision-making.
Use HR analytics techniques to measure employee engagement and improve productivity.
Apply machine learning algorithms to predict future HR trends and talent needs.
Develop workforce planning strategies using data-driven HR analytics insights.
Measure and analyze absenteeism, turnover costs, and retention risks using HR analytics models.
Optimize compensation strategies through salary benchmarking and HR data analysis.
Implement data-driven strategies to improve learning and development initiatives in HR.
Create and interpret HR scorecards to track organizational KPIs and HR performance metrics.
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