Human Resources Analytics (HRA) is a comprehensive course that equips students with a solid understanding of data and analytics in the field of human resources (HR). The course covers a wide range of topics related to data collection, management, analysis, visualization, and effective communication.
During this course, participants will delve into the different types of data that are relevant to HR, including employee data, recruitment data, performance data, and compensation data. They will also explore various data sources and learn how to gather data effectively from these sources.
Once the data is collected, participants will gain insights into essential data management techniques, such as data cleaning, pre-processing, and storage. They will also acquire knowledge of data analysis techniques, including descriptive statistics, inferential statistics, and data visualization methods.
Moreover, the course emphasizes the utilization of data to measure and evaluate the effectiveness of HR strategies and practices. Participants will explore different metrics and key performance indicators (KPIs) that can be employed to assess HR performance and identify areas for improvement.
Effective communication and implementation of data-driven insights are vital aspects covered in the course. Participants will learn how to effectively communicate their findings to relevant stakeholders, including HR managers, senior leadership, and employees. They will also understand how to implement necessary changes based on the outcomes derived from data analysis.
Throughout the course, students will have the opportunity to work with real-world data and engage in practical case studies, enabling them to gain valuable hands-on experience in data collection, management, analysis, visualization, and communication. By the conclusion of the course, students will possess the skills and knowledge to utilize data and analytics to enhance HR strategies and practices, enabling them to make informed, data-driven decisions in their future HR careers.