What is HR Analytics Course?

The HR Analytics course is designed to provide learners with the essential skills and knowledge needed to harness data-driven insights in HR decision-making. Oakwood’s course empowers HR professionals and managers to use analytics to improve talent management, employee performance, and organisational effectiveness.

In today’s data-centric world, HR professionals must be equipped to leverage analytics to enhance recruitment, retention, and overall workforce performance. This course enables learners to interpret HR metrics and make data-backed decisions that drive business success.

This intensive 3-day course combines theoretical knowledge with practical applications, using real-world case studies and interactive sessions to help learners integrate analytics into their HR strategy. Key areas covered include workforce planning, employee engagement metrics, predictive analytics, and performance management.
 

Course Objectives
 

  • Understand the fundamentals of HR analytics and its impact on performance
  • Learn to gather, analyse, and interpret HR data effectively
  • Enhance decision-making with workforce analytics for recruitment, retention, and  development
  • Develop skills in using predictive analytics for workforce planning and performance management
  • Understand key HR metrics and apply them to improve business outcomes

 

Upon completion, learners will be equipped to leverage HR analytics to make informed decisions that improve workforce efficiency, support business goals, and drive organisational growth.

 

Course Outline

HR Analytics Course

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

 

Included

Included

  • No course includes are available.

Offered In This Course:

  • vedio Video Content
  • elearning eLearning Materials
  • exam Study Resources
  • certificate Completion Certificate
  • study Tutor Support
  • workbook Interactive Quizzes
Individual Training

Individual Training fosters personal growth, enhances professional skills, and builds confidence.

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Corporate Training

Corporate Training improves employee skills, increases productivity, and aligns teams with company objectives.

Learning Options

Discover a range of flexible learning options designed to meet your needs. Select the format that best supports your personal growth and goals.

Online Instructor-Led Training

  • Live virtual classes led by experienced trainers, offering real-time interaction and guidance for optimal learning outcomes.

Online Self-Paced Training

  • Flexible learning at your own pace, with access to comprehensive course materials and resources available anytime, anywhere.

Build your future with Oakwood International

We empower you with the skills, knowledge, and confidence to excel in your career. Join us and take the first step towards realising your professional goals.

Frequently Asked Questions

Q. Do I need prior experience in HR to take this course?

No prior HR experience is required. This course is designed for individuals looking to enhance their HR analytics skills and apply data-driven insights to improve HR decision-making. 

Q. What topics are covered in the course?

The course covers essential areas such as HR metrics, data analysis techniques, workforce planning, employee performance analysis, and predictive analytics, providing practical skills to leverage data in HR practices. 

Q. How will this course benefit my career?

By completing this course, you’ll gain a strong understanding of HR analytics, enabling you to make data-driven decisions, optimise HR processes, and contribute to organisational success, enhancing your leadership and analytical capabilities. 

Q. Is this course suitable for senior HR professionals?

Yes, the course is ideal for senior HR professionals who want to deepen their knowledge of HR analytics and harness the power of data to make strategic decisions and drive business outcomes. 

Q. How is the course delivered?

The course is delivered through a blend of interactive modules, real-world case studies, and practical exercises, enabling you to apply analytics concepts directly to HR scenarios and improve decision-making in your organisation. 

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