What you'll learn:
- Gain a foundational understanding of people analytics, workforce metrics, and data-driven HR decision-making for better workplace insights.
- Learn to interpret and analyze HR data, identify trends, and apply basic analytics techniques to optimize talent management strategies.
- Explore ethical considerations, data privacy concerns, and best practices in using workforce analytics for responsible decision-making.
- Apply real-world case studies to understand how people analytics supports recruitment, employee engagement, and performance management.
In today’s evolving workplace, data plays a key role in how organizations manage their people and processes. HR Analytics—also known as People Analytics—focuses on using data to understand workforce trends, support human resource strategies, and contribute to informed decision-making.
This course offers a practical introduction to HR Analytics, designed to help learners understand how data can be used to explore patterns related to recruitment, retention, employee engagement, performance, and organizational structure. The course emphasizes foundational knowledge and encourages a thoughtful approach to interpreting data in a human resources context.
Participants will explore essential topics such as types of HR metrics, basic data visualization techniques, and ethical considerations when working with employee data. Through examples and guided lessons, learners will examine how different organizations approach data-informed HR practices and how those practices align with broader business objectives.
No background in data analytics is required. The course suits HR professionals, team leaders, managers, or anyone interested in learning how workforce data can be used to support everyday decision-making. The content is structured to help participants build awareness of key concepts and become more confident in analyzing and communicating data insights.
By the end of the course, learners will be familiar with core tools and ideas in HR Analytics and better equipped to participate in discussions or initiatives involving workforce data. This foundational knowledge can be applied in a variety of organizational contexts and may support future learning in analytics, human resources, or business strategy.
