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Professional certificate

HR Analytics, KPIs & Performance Management Professional Certificate

Build practical skills in hr data & metric design, excel for hr analytics, dashboards & storytelling.

Proposed curriculum and indicative duration. Final delivery mode, timetable, assessment and certificate details are subject to programme confirmation.

Programme overview

Build practical skills in hr data & metric design, excel for hr analytics, dashboards & storytelling.

What you’ll study

01HR Data & Metric Design

HR data model, data quality, confidentiality, KPI logic, headcount, turnover, absenteeism, recruitment and training metrics.

Practical work: Create a data dictionary and KPI catalogue.

02Excel for HR Analytics

Cleaning, lookups, formulas, pivots, charts, error checks and repeatable reporting.

Practical work: Clean and analyse a simulated HR dataset.

03Dashboards & Storytelling

Dashboard design, trend/variance analysis, filters, management summaries and avoiding misleading charts.

Practical work: Build an HR dashboard in Excel or Power BI.

04Performance Management Analytics

Goal design, rating quality, calibration concepts, performance distributions, development and fairness.

Practical work: Analyse a simulated performance-review dataset.

05Workforce & Recruitment Analytics

Funnel metrics, time-to-fill, source effectiveness, capacity, turnover risk indicators and scenario planning.

Practical work: Build a recruitment/workforce analysis.

06People Analytics Capstone

Business question, dataset, analysis, recommendations, ethics/privacy and executive presentation.

Practical work: Deliver a complete people-analytics case and presentation.

Tools & learning resources

  • Excel
  • Power BI optional
  • HRIS demo exports
  • Google Sheets
  • Presentation tools

Practical projects & portfolio

  • KPI dictionary
  • Excel HR model
  • Dashboard
  • Recruitment/performance analyses
  • People analytics capstone

Who can apply?

Excel basics and some HR/business understanding. HR03 recommended for complete beginners.

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What would you like to explore?

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