Course Description
This course provides an in-depth exploration of Human Resource Analytics (HR Analytics), equipping students with the knowledge and technical skills to leverage workforce data for strategic decision-making. The course integrates statistical analysis, predictive modelling, machine learning techniques, and data visualization to generate actionable insights for HR management. Using tools like Excel, Python, and Oracle, students will develop HR dashboards, analyze employee engagement, performance, turnover, and recruitment data, and apply predictive analytics to workforce planning. Real-world case studies from industries such as finance, healthcare, hospitality, and technology will provide context for applying analytical methodologies. Additionally, the course will emphasize ethical considerations, data privacy, and bias mitigation in HR analytics. The capstone project challenges students to design a data-driven HR solution that demonstrates applied HR analytics in business environments.