HR Analytics Course in Kansas City

HR Analytics Course Outline

Module 1: Introduction to HR Analytics

• Overview of HR Analytics
  • Definition and Importance
  • History and Evolution
  • Key Concepts and Terminologies
• Role of HR Analytics in Modern Organisations
  • Strategic Decision Making
  • Enhancing Employee Experience
  • Improving HR Processes

Module 2: Data Collection and Management

• Types of HR Data
  • Employee Data
  • Performance Data
  • Recruitment Data
• Data Sources and Tools
  • Internal HR Systems
  • Surveys and Questionnaires
  • External Data Sources
• Data Quality and Governance
  • Data Accuracy and Integrity
  • Data Privacy and Security
  • Ethical Considerations in Data Handling

Module 3: HR Metrics and KPIs

• Staffing Metrics
  • Recruitment Metrics
    • Time to Hire
    • Cost per Hire
    • Source of Hire
  • Turnover Metrics
    • Employee Turnover Rate
    • Retention Rate
    • New Hire Retention Rate
• Training and Development Metrics
  • Training Effectiveness
    • Learning Retention Rate
    • Training Completion Rate
    • Training ROI
  • Employee Development
    • Career Progression Rate
    • Promotion Rate
    • Internal Mobility Rate
• Performance Metrics
  • Employee Productivity
    • Revenue per Employee
    • Output per Hour
    • Goal Achievement Rate
  • Performance Reviews
    • Performance Ratings Distribution
    • Performance Improvement Rate
    • High Performer Retention Rate

Module 4: Data Analysis Techniques

• Descriptive Analytics
  • Data Visualisation
  • Basic Statistical Analysis
• Predictive Analytics
  • Regression Analysis
  • Machine Learning Models
• Prescriptive Analytics
  • Scenario Analysis
  • Decision Trees

Module 5: Tools and Technologies for HR Analytics

• HR Information Systems (HRIS)
  • Overview and Features
  • Integration with Other Systems
• Analytics Software and Platforms
  • Excel for HR Analytics
  • Advanced Tools (e.g., R, Python, Tableau)
• Leveraging AI and Machine Learning
  • Introduction to AI in HR
  • Use Cases and Applications

Module 6: Implementing HR Analytics

• Building an HR Analytics Team
  • Roles and Responsibilities
  • Skills and Competencies
• Developing an HR Analytics Strategy
  • Setting Objectives and Goals
  • Aligning with Business Strategy
• Case Studies and Best Practices
  • Real-world Examples
  • Lessons Learned from Successful Implementations

Module 7: Communicating Insights and Driving Action

• Data Storytelling for HR
  • Techniques for Effective Communication
  • Tailoring Insights to Different Audiences
• Creating HR Dashboards and Reports
  • Designing User-Friendly Dashboards
  • Best Practices for Reporting
• Influencing Decision Making
  • Presenting Data to Stakeholders
  • Driving Change through Analytics