HR Analytics is a comprehensive course designed to equip students with essential knowledge and skills in the field of Human Resources analytics. This course delves into the use of data analytics techniques and tools to drive informed decision-making in HR processes and strategies. Throughout the course, participants will learn to leverage HR data to gain actionable insights that lead to improved organizational performance and employee satisfaction. The curriculum covers various topics, including data collection, cleaning, analysis, and interpretation. Students will explore statistical techniques and data visualization methods to present HR metrics effectively. Furthermore, this course will address key HR analytics applications such as workforce planning, employee performance evaluation, talent acquisition, and retention. Participants will understand how to utilize predictive modeling and machine learning algorithms to forecast future trends and identify potential risks. Additionally, the course will touch upon the ethical considerations and challenges involved in HR analytics implementation. The HR Analytics course combines theoretical concepts with practical case studies, giving students the opportunity to apply their knowledge to real-world HR scenarios. By the end of this course, participants will have the expertise to implement HR analytics techniques and drive data-driven decision-making within their organizations. This course is ideal for HR professionals, managers, and individuals interested in leveraging data to optimize HR processes and organizational success.