Who Should Take This Course?

• HR professionals looking to enhance data-driven decision-making
• HR managers and business leaders
• Recruiters and talent acquisition specialists
• Data analysts and HR consultants

Module 1: Introduction to HR Analytics

• What is HR Analytics?
• Importance of HR data-driven decision-making
• Evolution of HR analytics and industry trends
• Role of HR analytics in business strategy

Module 2: HR Metrics & Key Performance Indicators (KPIs)

• Essential HR metrics (Turnover, Retention, Absenteeism, etc.)
• Performance measurement and workforce productivity analysis
• Employee engagement and satisfaction analytics
• Diversity, equity, and inclusion (DEI) analytics

Module 3: Data Collection & Management in HR

• HR data sources (HRIS, payroll, surveys, etc.)
• Data quality, integrity, and governance
• Ethical considerations and compliance (GDPR, CCPA, etc.)
• Data visualization and dashboarding basics

Module 4: HR Data Analysis Techniques

• Descriptive, predictive, and prescriptive analytics
• Statistical techniques in HR (regression, correlation, etc.)
• Trend analysis and forecasting workforce needs
• AI and machine learning applications in HR

Module 5: Talent Acquisition & Workforce Planning Analytics

• Predictive analytics for hiring and recruitment
• Workforce demand and supply forecasting
• Reducing hiring costs through data insights
• AI-driven candidate screening

Module 6: Employee Performance & Engagement Analytics

• Identifying high-potential employees
• Attrition prediction and retention strategies
• Measuring training effectiveness and ROI
• Sentiment analysis using HR analytics

Module 7: Compensation, Benefits & Payroll Analytics

• Salary benchmarking and pay equity analysis
• Benefits optimization through data insights
• Payroll cost analysis and forecasting
• Incentive structures based on data trends

Module 8: HR Reporting & Data Visualization

• Building HR dashboards (Power BI, Tableau, Excel)
• Creating compelling HR reports for leadership
• Storytelling with HR data
• Communicating insights for business impact

Module 9: HR Technology & Automation

• HR analytics software tools (SAP, Workday, Oracle, etc.)
• AI and automation in HR decision-making
• Chatbots and digital transformation in HR
• Integrating analytics into HR strategy

Module 10: Capstone Project & Certification Exam

• Real-world HR analytics case studies
• Hands-on project (HR metrics and reporting)
• Certification assessment
• Course completion certificate