Welcome to our course on Introduction to HR Analytics! In this course, we will explore the historical overview and evolution of HR analytics, from its origins as a data-driven approach to human resource management to the current trends and future predictions in the field. We will delve into the key concepts of HR analytics, including basic statistical concepts, understanding different types of data, and measures of central tendency and variability. We will also discuss data collection and management in HR analytics, as well as the steps in implementing HR analytics and the tools and technologies used in the field.
One of the main objectives of this course is to provide you with a comprehensive understanding of HR analytics and its real-world applications. We will examine case studies in recruitment and selection, training and development, compensation and benefits, employee engagement and retention, as well as workforce planning and forecasting. Additionally, we will address the challenges and ethical considerations in HR analytics, such as data privacy and security, data quality and relevance, and the skills gap in HR analytics. By the end of the course, you will have a solid foundation in HR analytics and be prepared to navigate the future of this dynamic field, including predicted trends and developments, and the importance of continuous learning and adaptation in HR analytics. Join us as we explore the exciting world of HR analytics!