Module 1: Introduction to Human Resource Data Analytics
The evolution of data-driven HR
From administrative HR to strategic HR analytics
Types of HR analytics (descriptive, diagnostic, predictive, prescriptive)
Linking HR analytics to organisational strategy
Business cases for HR analytics adoption
Module 2: HR Data Sources and What You Already Have
Internal HR data sources (HRIS, payroll, performance systems)
Recruitment and applicant tracking systems
Learning management systems
Employee engagement and survey data
External labour market data
Data integration challenges
Module 3: Core HR Metrics That Matter
Workforce composition metrics
Productivity and performance indicators
Absenteeism and attendance metrics
Engagement and satisfaction measures
Diversity and inclusion indicators
HR KPIs aligned to business performance
Module 4: Cleaning and Preparing HR Data for Analysis
Data quality principles
Identifying incomplete and inconsistent records
Data validation techniques
Structuring HR datasets
Preparing data for analysis tools
Common HR data errors and fixes
Module 5: Descriptive Analytics for HR Decision Making
Understanding trends and patterns in HR data
Using averages, ratios, and distributions
Visualising HR statistics
Identifying workforce insights
Translating numbers into decisions
Module 6: Measuring Recruitment and Hiring Performance
Time-to-hire and cost-per-hire metrics
Quality of hire indicators
Recruitment funnel analysis
Source effectiveness tracking
Candidate experience measurement
Module 7: Retention, Turnover, and Employee Experience Analytics
Types of employee turnover
Calculating turnover and retention rates
Early warning indicators of attrition
Employee engagement analytics
Exit interview data insights
Retention strategy measurement
Module 8: Learning, Performance, and Capability Analytics
Measuring training effectiveness
Skills gap analysis
Performance appraisal analytics
Competency mapping
Workforce capability measurement
ROI of learning and development
Module 9: Workforce Planning and HR Cost Analytics
Workforce forecasting techniques
Headcount planning and optimisation
HR budgeting and cost modelling
Labour cost analysis
Scenario planning for workforce changes
Module 10: Building HR Dashboards and Reports That Get Used
Principles of effective HR dashboards
Selecting the right metrics
Visual storytelling with data
Dashboard tools and platforms
Executive reporting formats
Making reports decision-friendly
Module 11: Communicating HR Insights and Defending Recommendations
Turning data into compelling narratives
Presenting analytics to executives
Influencing decisions with evidence
Handling objections and questions
Making actionable recommendations
Module 12: Ethics, Privacy, and Responsible Use of Employee Data
Data protection and employee privacy
Responsible analytics practices
Ethical risks in HR data use
Bias in HR analytics
Compliance with data regulations
Governance frameworks for HR data