• Explain the rationale, objectives and benefits of Human Resource Metrics and Analytics
• Identify and select the appropriate Human Resource Metrics and Analytics for different human resource domains and scenarios
• Apply the relevant frameworks, models and indicators of Human Resource Metrics and Analytics
• Use and manage various tools and platforms that facilitate and promote Human Resource Metrics and Analytics
• Analyze and interpret human resource data using various statistical and analytical methods
• Communicate and collaborate effectively with various stakeholders on Human Resource Metrics and Analytics issues
• Present and visualize human resource data and insights in a clear and compelling way

• Enhance your knowledge and skills in Human Resource Metrics and Analytics and related disciplines
• Develop your critical thinking and problem-solving abilities in Human Resource Metrics and Analytics matters
• Boost your confidence and credibility as a Human Resource Metrics and Analytics professional or aspiring leader
• Expand your network and opportunities with other participants and experts in the field
• Earn a certificate of completion from a reputable institution

Day 1: Introduction to Human Resource Metrics and Analytics

• What are Human Resource Metrics and Analytics and why are they important?
• The history and evolution of Human Resource Metrics and Analytics
• The main theories and models of Human Resource Metrics and Analytics
• The key principles and components of Human Resource Metrics and Analytics
• The sources and types of Human Resource Metrics and Analytics regulation
• The role and impact of Human Resource Metrics and Analytics on organizational performance and society

Day 2: Human Resource Metrics and Analytics in Recruitment and Retention

• The role and importance of Human Resource Metrics and Analytics in recruitment and retention
• The types and sources of recruitment and retention data and how to access and analyse it
• The process and techniques of Human Resource Metrics and Analytics in recruitment and retention, such as time to hire, cost per hire, quality of hire, turnover rate, and retention rate
• The best practices and challenges of Human Resource Metrics and Analytics in recruitment and retention
• The case studies of Human Resource Metrics and Analytics in recruitment and retention, such as Google, Starbucks, and Netflix

Day 3: Human Resource Metrics and Analytics in Development and Performance

• The role and importance of Human Resource Metrics and Analytics in development and performance
• The types and sources of development and performance data and how to access and analyse it
• The process and techniques of Human Resource Metrics and Analytics in development and performance, such as training effectiveness, learning transfer, performance appraisal, productivity, and engagement
• The best practices and challenges of Human Resource Metrics and Analytics in development and performance
• The case studies of Human Resource Metrics and Analytics in development and performance, such as Apple, Tesla, and Coca-Cola

Day 4: Human Resource Metrics and Analytics Tools and Platforms

• The role and importance of tools and platforms for Human Resource Metrics and Analytics
• The types and features of tools and platforms for Human Resource Metrics and Analytics, such as Excel, SPSS, R, Python, Tableau, and Power BI
• The process and techniques of using and managing tools and platforms for Human Resource Metrics and Analytics
• The best practices and challenges of using and managing tools and platforms for Human Resource Metrics and Analytics
• The case studies of using and managing tools and platforms for Human Resource Metrics and Analytics, such as Amazon, Microsoft, and McDonald’s

Day 5: Human Resource Metrics and Analytics Communication and Presentation

• The role and importance of communication and presentation for Human Resource Metrics and Analytics
• The types and modes of communication and presentation for Human Resource Metrics and Analytics, such as reports, dashboards, infographics, and stories
• The process and techniques of communication and presentation for Human Resource Metrics and Analytics, such as communication plan, communication channel, communication message, and communication feedback
• The best practices and challenges of communication and presentation for Human Resource Metrics and Analytics
• The case studies of communication and presentation for Human Resource Metrics and Analytics, such as Facebook, ExxonMobil, and Procter & Gamble

To enhance learning and practical application of concepts, the training course will use a combination of interactive lectures, case studies, group discussions, practical exercises, and real-world examples. Participants will also get the chance to collaborate on group projects and create action plans adapted to the needs of their respective organizations.