HR Analytics Course

• Educational Background: No prior experience in HR analytics is required. However, a basic understanding of HR principles and data analysis will enhance your ability to grasp course concepts.
• Language Proficiency: Learners should have a good command of English, as all course materials and assessments are provided in English.
• Interest in Data-Driven Decision Making: This course is ideal for HR professionals or managers who want to leverage data to improve HR processes and drive business results.

• Understand HR Analytics Fundamentals: Learn the core principles of HR analytics, including data collection, analysis techniques, and key HR metrics.
• Develop Analytical Skills: Gain practical skills to interpret HR data, identify trends, and use analytics to inform HR decisions.
• Optimise Workforce Planning: Learn how to use predictive analytics to forecast workforce needs, talent gaps, and employee retention strategies.
• Enhance HR Strategies: Understand how to integrate HR analytics into strategic planning to improve recruitment, performance management, and overall organisational effectiveness.

The HR Analytics course is designed for professionals who want to leverage data to make informed HR decisions and improve workforce management. It provides practical insights into HR metrics, data analysis, and strategic planning to enhance organisational effectiveness. Below are the individuals who will benefit from this course:

• HR Managers
• Data Analysts
• People Analytics Specialists
• Line Managers
• Business Leaders
• Department Heads
• Senior Managers

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