This course aims to provide a comprehensive understanding of survival analysis, a statistical method used to estimate the time until an event occurs. It addresses common challenges faced in real-life situations where the timing of events is uncertain, such as the onset of flu symptoms after exposure or determining the influence of salary and work-life balance on employee turnover. Through practical exercises, participants will gain hands-on experience in computing, visualizing, interpreting, and comparing survival curves using popular models like Kaplan-Meier, Weibull, and Cox PH. By the end of the course, attendees will have the skills to effectively model survival distributions, create visually appealing plots of survival curves, and even make predictions about survival durations. This course is designed for professionals seeking to enhance their analytical capabilities and draw valuable insights from time-to-event distributions. Whether you work in healthcare, human resources, or any field where understanding the timing of events is crucial, this course will equip you with the necessary tools to confidently analyze and interpret survival data.