This module is designed to transform raw organizational data into meaningful insights through advanced data management, statistical analysis, and dynamic visualization techniques. It equips participants with practical skills to navigate diverse business scenarios by leveraging HR data effectively.

This module encompasses the following key areas -

• Strategies for effective data visual analytics
• Visualizing HR data with AI &Business Intelligence
• Developing DAX measures based on HR requirements
• Planning and developing HR dashboard/reports & data stories
• More on Visual Analytics – HR trends, clustering, distributions & forecasting

AI for HR involves blending strategic insight with practical applications tailored to leadership roles. This initiative equips decision-makers with a clear understanding of how artificial intelligence can optimize talent acquisition, employee engagement, performance management, and workforce planning. AI-powered modern HR practices are revolutionizing how organizations manage and nurture their workforce. Chatbots and virtual assistants streamline employee onboarding and answer HR queries 24/7, improving accessibility and engagement. Explainable AI (XAI) plays a pivotal role in ensuring responsible and transparent HR practices.

This module encompasses the following key areas -

• AI powered modern HR Practices
• Explainable AI and HR oversight
• Case examples of AI implementations in HR & future skills

This module involves the systematic analysis of historical workforce data to uncover patterns, trends, and relationships that inform organizational decision-making. This analytical approach focuses on summarizing and interpreting data related to recruitment, turnover rates, employee engagement, performance metrics, compensation, and workforce demographics. The insights gain through this module will help in identifying areas of improvement, recognize workforce strengths, and form the foundation for strategic HR planning.

Key components explored in this module include -

• Benchmarking and Metrics
• Strategic use of Metrics

Predictive analytics transforms HR from a reactive function into a strategic driver of organizational success. By applying statistical models, machine learning algorithms, and data mining techniques, HR professionals can anticipate issues such as employee turnover, hiring needs, performance risks, and engagement levels.

This module covers the following core areas -

• Measurement and Scaling Techniques Predictive Analytics Modeling
• Application of predictive analytics – examples will be drawn from various HR domains such as talent acquisition, talent development, attrition, HR interventions etc

Interpreting Predictive Analytic Results

Prescriptive analytics empowers HR teams to take informed, proactive steps that align talent strategy with overall business goals. It recommends specific actions to optimize workforce strategies and drive desired results. In this module, the HR professionals receive actionable guidance on complex decisions such as succession planning, workforce allocation, skills development, and performance interventions.

This module covers the following areas -

• Use of Prescriptive Analytics for HR problems

The Capstone Project serves as the culminating experience of the HR Analytics & Management program, offering participants the opportunity to apply their analytical expertise to a real-world human resource challenge. Through this hands-on initiative, learners synthesize concepts from descriptive, predictive, and prescriptive analytics to design AI data-driven HR solutions aligned with strategic organizational goals. Participants are expected to work with HR datasets, craft actionable insights, and present their recommendations using advanced visualization and storytelling techniques.