27th Jul - 1st Aug, 2026
Bliss Resort, Mombasa
6 Day(s)
8:00 AM - 4:00 PM
Ksh. 75,400.00 (Incl. VAT)
6 Point(s)
HR Data Analytics & AI Integration
From
To
From
To
Duration
Venue
CPD
Cost
27-07-2026
01-08-2026
8:00 AM
4:00 PM
6 Day(s)
Bliss Resort, Mombasa
6
75,400.00
Course Overview
This six-day workshop equips HR professionals with practical capability in HR data analytics, metrics interpretation, and evidence-based decision-making. Participants learn how to define HR metrics, manage data quality, design dashboards, forecast workforce needs, analyze talent trends, and model ROI. Artificial Intelligence is integrated to enhance data processing, automate reporting, generate insights, and strengthen predictive analytics. The programme blends technical HR analytics skills with modern AI tools to produce HR professionals who can translate data into strategic business action.
Course Objectives
By the end of this program, participants will be able to:
- Metric Mastery: Define, interpret, and apply HR metrics for organizational insight.
- Data Governance: Strengthen data quality, privacy, and ethical handling.
- Analytics Capability: Use dashboards, visualization tools, and workforce models.
- Forecasting: Apply demand-supply modelling and scenario planning.
- Talent Insights: Analyze recruitment, engagement, turnover, and retention drivers.
Target Groups
This training is suitable to a wide range of professionals but will greatly benefit:
- HR Analysts, HR Managers, and HR Officers
- Talent Managers and HRBPs
- Workforce Planners
- HR professionals transitioning into analytics roles
Secretary General
Academy of Certified Human Resource Professionals
This six-day workshop equips HR professionals with practical capability in HR data analytics, metrics interpretation, and evidence-based decision-making. Participants learn how to define HR metrics, manage data quality, design dashboards, forecast workforce needs, analyze talent trends, and model ROI. Artificial Intelligence is integrated to enhance data processing, automate reporting, generate insights, and strengthen predictive analytics. The programme blends technical HR analytics skills with modern AI tools to produce HR professionals who can translate data into strategic business action.
By the end of this program, participants will be able to:
- Metric Mastery: Define, interpret, and apply HR metrics for organizational insight.
- Data Governance: Strengthen data quality, privacy, and ethical handling.
- Analytics Capability: Use dashboards, visualization tools, and workforce models.
- Forecasting: Apply demand-supply modelling and scenario planning.
- Talent Insights: Analyze recruitment, engagement, turnover, and retention drivers.
Day 1: HR Analytics Foundations
+
- Metric Definitions: Understand key HR metrics and how they inform organizational decisions.
- Data Sources: Identify internal and external data sources for HR analytics.
- CHCA Role Competencies: Core competencies required for HR analytics practitioners.
Day 2: Data Governance & Dashboard Design
+
- Data Quality: Ensure accuracy, consistency, and reliability of HR datasets.
- Privacy & Ethics: Apply ethical standards and data protection principles.
- Dashboard Principles & Tools: Build dashboards that communicate insights clearly.
Day 3: Artificial Intelligence (Part 1)
+
- AI Landscape: Understand Generative AI, analytics, and automation in HR data work.
- Gen AI for HR Analytics: Use AI to clean data, summarize datasets, and generate metric insights.
- AI in Practice: Lab: produce automated summaries, metric explanations, and insight drafts.
Day 4: Artificial Intelligence (Part 2)
+
- Copilot Deep Dive: Use AI assistants for dashboards, forecasting, and workflow automation.
- AI Trends & Predictive Analytics: Explore predictive modelling, risk indicators, and workforce signals.
- Digital Integration Lab: Build AI-supported dashboards and forecasting templates.
Day 5: Workforce Planning, Talent & Performance An
+
- Demand-Supply Modelling & Scenario Planning: Analyze workforce gaps, future needs, and alternative workforce scenarios.
- Predictive Techniques, KPIs & Talent Drivers: Apply predictive analytics to talent, performance, recruitment KPIs, engagement, and turnover drivers.
- Performance Metrics, Training Impact & ROI: Measure performance outcomes, training effectiveness, and calculate cost-benefit models.
Day 6: Strategic Reporting, Storytelling & Certifi
+
- Visualization Best Practices: Present data clearly and persuasively.
- Executive Summaries: Produce concise, decision-ready summaries.
- Narrative Frameworks & Certification: Build compelling data stories for leadership, followed by final presentations and certification.
This training is suitable to a wide range of professionals but will greatly benefit:
- HR Analysts, HR Managers, and HR Officers
- Talent Managers and HRBPs
- Workforce Planners
- HR professionals transitioning into analytics roles