Survival Analysis
is a crucial statistical technique used to analyze time-to-event data, where the outcome of interest is measured over time. This course is designed for data analysts and scientists who want to master the skills required for survival analysis.
Some of the key concepts covered in this course include Kaplan-Meier estimation, Cox proportional hazards model, and survival distribution functions.
Through interactive lectures, hands-on exercises, and real-world examples, learners will gain a deep understanding of survival analysis and its applications in fields such as medicine, engineering, and finance.
By the end of this course, learners will be able to apply survival analysis techniques to real-world problems and make informed decisions based on data-driven insights.
So, if you're ready to take your analytical skills to the next level and learn how to extract valuable insights from time-to-event data, explore our Advanced Skill Certificate in Survival Analysis today!