HR Analytics and Workforce Metrics
Use people data to make better decisions.
About this course
Use people data to make better decisions. Over three days you will learn where HR data comes from, how to clean and organise it, and how to calculate and interpret the workforce metrics managers ask for most.
You will analyse trends in turnover, absence, hiring and engagement, build clear dashboards in a spreadsheet tool, and practise turning numbers into practical insights and recommendations that leaders can act on.
What you'll learn
- Explain how HR analytics supports business decisions
- Identify reliable HR data sources and improve data quality
- Calculate and interpret core workforce metrics
- Analyse trends in turnover, absence, recruitment and engagement
- Build clear HR dashboards in a spreadsheet tool
- Present people insights and recommendations to managers
Curriculum
- From reporting to analytics
- Descriptive, diagnostic and predictive analytics
- Asking the right business questions
- Ethics and data privacy
- HR data sources
- Data cleaning and structure
- Data quality checks
- Combining data sets
- Headcount and full-time equivalents
- Turnover and retention rates
- Absence rates
- Time to hire and cost per hire
- Training metrics
- Trends and comparisons
- Segmenting the workforce
- Basic statistics for HR
- Correlation and its limits
- Choosing the right measures
- Charts and visual design
- Pivot tables and filters
- Keeping dashboards up to date
- Turning findings into insights
- Building a recommendation
- Presenting to managers
- Measuring the impact of HR initiatives
Who it's for
HR professionals and analysts who want to measure workforce performance and support decisions with evidence.
Before you start
- Working knowledge of spreadsheets
Part of these Alalamia diplomas
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