- Public Health
- R Programming
- Statistical Modeling
- Exploratory Data Analysis
- Probability & Statistics
- Data Preprocessing
- Descriptive Statistics
- Logistic Regression
- Regression Analysis
- Statistical Analysis
- Model Evaluation
- Predictive Modeling
Logistic Regression in R for Public Health
Completed by Mia CAO
January 10, 2023
12 hours (approximately)
Mia CAO'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
