Unlock the Secrets of Survival Analysis: A Free Udemy Course

Dive into the world of survival analysis in R with this comprehensive course designed for both novices and professionals alike. This course aims to equip you with a thorough understanding of essential techniques used in medical research, public health, and social sciences. Whether you’re just starting or looking to refine your skills, you’ll gain hands-on experience with real-life projects that reinforce your learning.

In this engaging course, you’ll explore core concepts such as censoring, survival functions, and hazard functions. As you progress, you’ll learn various survival analysis methods, including Kaplan-Meier analysis and Cox regression, allowing you to proficiently analyze time-to-event data. Your instructor, Lam Nguyen, an experienced researcher and data analyst, will guide you every step of the way, combining theoretical foundations with practical applications to prepare you for real-world scenarios.

By the end of this course, you will confidently perform survival analyses and account for any data violations, creating detailed reports and visualizations that highlight your findings. Master the art of survival analysis and open new doors in your career today!

What you will learn:

• Understand core concepts in survival analysis (e.g., censoring, survival function, hazard function).
• Proficiently perform survival analyses as well as build Cox regression models using R.
• Check the assumptions for survival analyses and handle violations.

Course Content:

• Sections: 1
• Lectures: 10
• Duration: 10 hours

Requirements:

• Basic understanding of R
• Basic knowledge of statistics

Who is it for?

• Graduate students in biostatistics, epidemiology and public health
• Researchers working with time-to-event data
• Data scientists and analysts in healthcare and other fields

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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