Course Outline 

Module 1: Introduction to HR Data Analytics

• The Importance of HR Analytics and Its Strategic Value
• Key HR metrics and KPIs
• Types of HR Analytics: Descriptive, Predictive, and Prescriptive
• Case Study: Using Turnover Data to Identify Retention Challenges

Module 2: Data Collection and HRIS Systems

• Key Sources of HR Data
• Data collection tools and best practices
• HR Information Systems (HRIS) overview
• Case Study: Mapping Employee Lifecycle Through HRIS Data

Module 3: Data Cleaning and Preparation

• Importance of clean data
• Data validation techniques
• Dealing with missing, duplicate, and inconsistent data
• Case Study: Preparing Recruitment Data for Analysis

Module 4: Descriptive Analytics in HR

• Summarizing HR data
• Frequency distributions, trends, and visualizations
• Dashboards and storytelling with data
• Case Study: Analyzing Employee Engagement Survey Results

Module 5: Predictive Analytics in HR

• Forecasting techniques and tools
• Predictive models for hiring and attrition
• Risk and opportunity identification
• Case Study: Predicting High Performer Attrition

Module 6: Data Visualization and Reporting

• Best practices for visual storytelling
• Tools: Excel, Power BI, Tableau (Intro level)
• Communicating findings to leadership
• Case Study: Creating a Diversity & Inclusion Dashboard

Module 7: Workforce Planning and Analytics

• Aligning workforce planning with business strategy
• Demand and supply analysis
• Scenario planning and gap analysis
• Case Study: Strategic Planning for Talent Needs Post-Merger

Module 8: Recruitment Analytics

• Metrics for talent acquisition (time-to-hire, cost-per-hire, source of hire)
• Evaluating recruitment channels
• Enhancing Quality of Hire Through Data-Driven Insights
• Case Study: Evaluating the ROI of a Job Fair Campaign

Module 9: Performance & Learning Analytics

• Linking training outcomes to business performance
• Measuring performance trends
• Individual vs team performance analytics
• Case Study: Using Performance Data to Improve Training ROI

Module 10: Ethics, Privacy, and The Future of HR Analytics

• Data privacy laws and compliance
• Ethical use of employee data
• Trends: AI, machine learning in HR
• Case Study: Ethical Dilemma in Using Employee Monitoring Data