Logistic Regression in R for Public Health
Completed by Ahmed Gamal Ali Amaseib
May 26, 2026
12 hours (approximately)
Ahmed Gamal Ali Amaseib's account is verified. Coursera certifies their successful completion of Logistic Regression in R for Public Health
What you will learn
Describe a data set from scratch using descriptive statistics and simple graphical methods as a first step for advanced analysis using R software
Interpret the output from your analysis and appraise the role of chance and bias as potential explanations
Run multiple logistic regression analysis in R and interpret the output
Evaluate the model assumptions for multiple logistic regression in R
Skills you will gain
- Category: Regression Analysis
- Category: R Programming
- Category: Probability & Statistics
- Category: Predictive Modeling
- Category: Statistical Methods
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Data Preprocessing
- Category: R (Software)
- Category: Statistical Modeling
- Category: Exploratory Data Analysis
- Category: Descriptive Statistics
