• Comprehensive training manual
• Digital resource pack with all templates, cheat sheets, and reference guides for post-workshop application
• Personal 30/60/90-Day Action Plan template

Technical Requirements:

• Laptops or tablets per participant with Microsoft Excel 2016+ or Microsoft 365
• Power BI Desktop (free) pre-installed — or web-based Power BI with accounts

This training goes beyond theory. By the end of the program, participants will be able to:

• Explain the HC analytics maturity model and articulate the business value of data-driven HC decisions
• Design effective HC data collection instruments and apply data entry best practices
• Apply data cleaning and validation techniques to prepare raw HC datasets for analysis
• Organize and preprocess HC data using structured frameworks and Excel/Power BI tools
• Select and build appropriate data visualizations to communicate HC insights clearly
• Interpret HC metrics and KPIs, identify trends and anomalies, and translate findings into actionable recommendations
• Develop a personal action plan for embedding HC analytics practices in their organization

Prerequisites:

• Basic familiarity with HR functions and HC processes
• Comfortable using Microsoft Excel or Google Sheets (intermediate level)
• No prior statistics or data science background required

• HR Managers, HR Business Partners, and HR Generalists
• HC Analytics and Workforce Planning professionals
• Talent Acquisition and L&D professionals seeking data fluency
• HC department heads transitioning to evidence-based decision-making

• Interactive sessions
• Hands-on lab sessions using structured datasets in Excel and Power BI
• Real-world case studies and examples
• Reflection activities and learning logs to consolidate understanding
• Capstone project simulating a real organizational HC analytics brief

Foundations: Data Literacy & Data Quality
Theme: Transforming cleaned data into structured, meaningful visualizations and HC KPI dashboards.

Objectives:

• Understand the strategic role of HC analytics in organizations
• Identify diverse HC data sources and governance considerations
• Design quality data collection instruments for HC contexts
• Apply data cleaning techniques to detect and resolve data quality issues

Processing & Visualization: From Raw Data to Insight

Theme: Building the essential mindset and skills for responsible HC data collection and cleaning.

Objectives:

• Structure and organize HC datasets using data dictionaries and naming standards
• Preprocess and transform HC data for analysis-readiness
• Define the right business question before touching data
• Define and calculate core HC metrics and KPIs
• Understand and apply lead vs. lag indicators in HR contexts
• Select and apply the right visualization types to HC data stories

Interpretation & Application: Data to Decision
Theme: Developing the analytical judgment to interpret HC data accurately and communicate compelling, evidence-based recommendations to business stakeholders.

Objectives:

• Build complete HC analytics dashboards from raw data to final output
• Apply the STAR Insight Framework to interpret HC data narratives
• Recognize common analytical biases and interpretation pitfalls
• Apply stakeholder influence techniques to gain buy-in for HC analytics findings
• Build recognition and credibility for the HC analytics function with leadership
• Introduce predictive analytics concepts for HC applications
• Present a data-driven HC recommendation confidently to leadership

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.