Survival Analysis in Python

Starting at USD 39.00
4 hours duration

Use survival analysis to work with time-to-event data and predict survival time.

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.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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