Introduction

The future of Human Resources (HR) lies in leveraging data to drive smarter, more strategic decisions. This course is designed to empower HR professionals with the skills to collect, analyze, and apply data effectively. Participants will explore how data-driven insights can enhance recruitment, performance management, employee engagement, and overall workforce strategies, ensuring alignment with organizational goals in a fast-changing business environment.

Objectives

By the end of this course, participants will:

• Understand the fundamentals of HR analytics and its applications.
• Learn to collect, interpret, and visualize HR data for strategic decision-making.
• Develop skills to align data-driven strategies with organizational goals.
• Gain insights into predictive analytics for workforce planning and performance.
• Be prepared to address challenges related to data ethics, security, and privacy.

Who Should Attend?

This course is ideal for:

• HR Professionals seeking to enhance their data analytics capabilities.
• Talent Acquisition and Development Specialists.
• Business Leaders involved in workforce strategy and planning.
• HR Analysts and Technologists responsible for HR systems.
• Anyone looking to transition into a data-driven HR role.

Course Outline

Day 1: Introduction to Data-Driven HR Decision Making

• What is HR Analytics? Overview, benefits, and applications
• The Role of Data in HR Strategy: Aligning analytics with business objectives
• Types of HR Data: Recruitment, retention, performance, and engagement metrics
• Case Study: Real-world examples of successful data-driven HR strategies

Day 2: Collecting and Managing HR Data

• Data Collection Techniques: Surveys, systems, and real-time tracking
• Data Management Best Practices: Storage, integration, and cleansing
• HR Technology: Tools and platforms for data collection and management
• Interactive Workshop: Setting up a data collection framework

Day 3: Analyzing and Visualizing HR Data

• Data Analysis Basics: Statistical methods and trend identification
• Data Visualization Tools: Creating impactful charts and dashboards
• Telling Stories with Data: Presenting insights to stakeholders
• Practical Exercise: Analyzing and visualizing a sample HR dataset

Day 4: Predictive Analytics and Workforce Planning

• Introduction to Predictive Analytics: Forecasting talent needs and performance
• Using Data for Workforce Planning: Addressing skills gaps and succession planning
• Employee Retention Analytics: Identifying risks and improving retention rates
• Interactive Workshop: Developing a predictive model for a mock organization

Day 5: Ethical, Secure, and Strategic Use of HR Data

• Data Privacy and Security: Navigating legal and ethical considerations
• Overcoming Bias in HR Analytics: Ensuring fairness and inclusivity
• Future Trends in HR Analytics: AI, machine learning, and real-time data
• Capstone Activity: Participants create a data-driven HR strategy for a hypothetical organization