- Regression Analysis
- Model Evaluation
- R Programming
- Logistic Regression
- Statistical Modeling
- Probability & Statistics
- Exploratory Data Analysis
- Data Preprocessing
- Statistical Analysis
- Descriptive Statistics
- Predictive Modeling
- Statistics
Logistic Regression in R for Public Health
Completed by Prince John
January 8, 2021
12 hours (approximately)
Prince John'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
