Endorsed by
Coursera 4.3 (9)
Overview
Key Features
The three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. Using the popular and completely free software R, you’ll learn how to take a data set from scratch, import it into R, run essential descriptive analyses to get to know the data’s features and quirks, and progress from Kaplan-Meier plots through to multiple Cox regression.
You’ll use data simulated from real, messy patient-level data for patients admitted to hospital with heart failure and learn how to explore which factors predict their subsequent mortality. At the Survival Analysis in R for Public Health course offered by Coursera in partnership with Imperial College London, you’ll learn how to test model assumptions and fit to the data and some simple tricks to get round common problems that real public health data have.
There will be mini-quizzes on the videos and the R exercises with feedback along the way to check your understanding.
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Visit programme websiteProgramme Structure
Courses include:
- The Kaplan-Meier Plot
- The Cox Model
- The Multiple Cox Model
- The Proportionality Assumption
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Public Health Data Analytics View 177 other Short Courses in Data Analytics in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- We advise that you first take the previous courses in the series, particularly Introduction to Statistics, though this is not essential.
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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