4.2 Read 93 reviews
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.
Programme Structure
Courses include:
- The Kaplan-Meier Plot
- The Cox Model
- The Multiple Cox Model
- The Proportionality Assumption
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Public Health Data Analytics View 179 other Short Courses in Data Analytics in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic 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
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
Audit: free access to course materials except graded items|Certificate: a trusted way to showcase your skills|A year of unlimited access with Coursera Plus $199
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.
Improve page content