- Exploratory Data Analysis
- Statistical Hypothesis Testing
- Statistical Methods
- Descriptive Statistics
- R Programming
- Correlation Analysis
- Statistical Modeling
- Data Analysis
- Probability & Statistics
- Regression Analysis
- Time Series Analysis and Forecasting
- Biostatistics
Survival Analysis in R for Public Health
Completed by Anubhav Kaphle
March 17, 2021
11 hours (approximately)
Anubhav Kaphle's account is verified. Coursera certifies their successful completion of Survival Analysis in R for Public Health
What you will learn
Run Kaplan-Meier plots and Cox regression in R and interpret the output
Describe a data set from scratch, using descriptive statistics and simple graphical methods as a necessary first step for more advanced analysis
Describe and compare some common ways to choose a multiple regression model
Skills you will gain
