Programme Content
Module 1: Foundations of Strategic HR Analytics
Module 2: Workforce Planning & Talent Analytics
Understand and apply strategic workforce planning frameworks to identify critical roles and capability gaps.
Forecast talent demand and supply using Excel-based trend and regression models.
Explore the basics of Business Analytics - Descriptive Analytics including Normal Distributions; Sampling and Sampling Distributions; Hypothesis Testing (One Sample); Predictive Analytics in HR context.
Apply prescriptive analytics techniques to address HR challenges and optimise processes.
Evaluate recruitment effectiveness using funnel, cost, and quality-of-hire metrics.
Assess selection processes for validity, efficiency, and adverse impact.
Module 3: Performance, Engagement & Productivity Analytics
Explore engagement & performance linkage by understanding relevant theories and models, Engagement & Performance Metrics
Examine the relationship between engagement drivers and performance outcomes using correlation and regression in Excel.
Identify key predictors of high performance and productivity decline.
Segment the workforce based on performance risk and potential.
Analyse employee performance and potential using predictive analytics models.
Design and implement performance management systems based on analytics insights.
Module 4: Attrition & Retention Analytics
Understand the fundamentals of Turnover & Retention - Psychological contract; High performer vs regrettable attrition; Lifecycle approach
Build an attrition risk identification model using Excel-based analytical techniques.
Calculate and interpret cost-of-attrition and retention ROI.
Distinguish between regrettable and non-regrettable attrition using data.
Formulate targeted retention strategies based on predictive insights and scenario analysis.
Module 5: Learning & Capability Analytics
Align learning metrics with capability-building and business performance outcomes.
Conduct pre-post and impact analysis of L&D programs using Excel.
Estimate the financial and strategic ROI of capability development initiatives.
Create skill-gap and succession-readiness dashboards for leadership decision-making using Tableau
Module 6: Ethics and AI in HR Analytics
Understanding Basics of AI
Using AI for Talent Insights and Predictions, automation of routine HR functions
Generative AI Tools in HR
Audit HR datasets for bias in hiring, pay, and performance decisions using Excel
Evaluate the ethical implications of predictive modeling in employee-related decisions
Understand the ethical issues and biases involved in usage of AI in HR to facilitate Ethical and Responsible Use of AI in HR
Module 7: Advanced Strategic Insights
Apply HR Analytics in strategic contexts - Translating numbers into decisions
Measuring Impact and ROI of HR Initiatives
Avoiding statistical manipulation
Construct a boardroom-ready analytics narrative that balances insight, fairness, and governance.
HR as Business Partner
Module 8: Capstone Project
Apply learned concepts and techniques to a real-world HR analytics project.
Collect, analyse, and interpret HR data using R, and advanced Excel.
Develop recommendations for improving HR processes and practices.
Present findings and insights using Excel and Tableau.
