Program Overview

Program Outcome with Video

Rising trend of analytics in HR

"Job postings for HR analytics roles have increased by 242% over the past three years." - Source: LinkedIn Workforce Report

"The demand for HR analytics professionals has grown by 120% in the last two years." - Source: HR Exchange Network

"HR analytics professionals earn an average salary that is 37% higher than traditional HR roles." - Source: SHRM

Program Learning Outcomes

Program Syllabus

Program Syllabus

Understanding Employee Life Cycle in an organization

Understanding Sub functions of HRM

Application of Artificial Intelligence (AI) & Machine Learning (ML) in HRM

Introduction to Machine learning techniques

Basic Statistical tools & its Applications

Human Capital Analytics Continuum

Identifying Cause-and-Effect variables (Independent and Dependent Variables)

Understanding Measurement Scales & its Implications

Applying appropriate technique based on nature of problems and variables.

Select Case studies showcasing successful application of HR Analytics.

Developing relevant problem statement based on context.

Developing various ratios based on problems identified.

Developing various HR metrics in different functions of HR

Data visualization through dynamic dashboards in Excel and Tableau

Understanding various patterns emerging from Data visualization

Effective Story Telling using Data visualization.

Developing HR Scorecards

Select Case studies showcasing power of HR dashboards & its relevance

Introduction to HR Planning & Sourcing

Identifying Demand and Supply gaps

Predicting Future Demands for Work force

Sourcing Optimization for hiring

HR Planning Techniques (Scatter plots, Trend Analysis, Ratio Analysis. Transition Matrix, etc)

Developing various HR metrics for measuring Sourcing Efficiency & Effectiveness

Introduction to Talent Acquisition

Understanding Factors responsible for Hiring Talent

Acquisition Efficiency (time, volume & resources) and Effectiveness (Quality of hire) Assessment

Return on Investment Analysis for New Talent

Developing Metrics based on Gamification & Predicting the Renege Rates

Introduction to Talent Engagement

Understanding Factors for Employee Engagement

Measuring Impact of Engagement Initiatives on Performance

Performance & Potential Assessment using Predictive Analytics

Predicting Promotion Likelihood using Predictive Analytics

Identifying High-performance Individuals and Teams

Analysing Employee Emotions & Mood using Chatbots through Text analytics

Introduction to Talent Development Practices

Training Need Analysis using Descriptive Analytics

Measuring Training Effectiveness using Pre-post Analysis in Performance

Assessing Key Talents using Cluster Analysis

Measuring Renege Rate Attrition Analysis

Predicting Stay Likelihood using Predictive Analytics

Identifying Significant Factors for Attrition

Assessing Exit Interviews to understand Employee’s Concern using Text Analytics

Understanding Most Effective Benefit Schemes

Measuring Employee Satisfaction with Rewards Management

Understanding the Relationship between Performance & Rewards

Impact of Monetary & Non-Monetary Rewards on Performance

Understand & Address Ethical Implications while using HR Analytics Tools

Data Protection Regulations while using Personal Data of Employees

The capstone project provides an opportunity for participants to apply their knowledge and skills to a real-world scenario. Below is a description of the project. Capstone Project: Application of HR analytics tools and techniques, The capstone project for the HR Analytics course is a comprehensive assignment that focuses on applying the tools and techniques learned throughout the course to a real challenge in the field of HR. Participants will identify a people management issue which needs to be addressed using the past data, necessary methodology to analyse the support data, interpreting the results and writing the contextual and actionable recommendations for the organization's effective HR Management,