HR Analytics Course

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 

What You’ll Learn in this Course

This course takes you from understanding data fundamentals to applying advanced analytics techniques to solve HR challenges. Each stage enhances your analytical thinking and strategic HR decision-making. 

• Learn the fundamentals of HR analytics, data collection, and interpretation 

• Learn how to define and measure key HR metrics and performance indicators 

• Learn to apply data visualisation techniques for workforce insights 

• Learn how to use analytics tools to improve recruitment and retention 

• Learn to forecast HR trends using predictive and descriptive analytics 

• Learn how HR analytics supports strategic business decision-making