- Probability & Statistics
- Regression Analysis
- Statistical Analysis
- Exploratory Data Analysis
- Model Evaluation
- Statistics
- Data Preprocessing
- R Programming
- Descriptive Statistics
- Logistic Regression
- Public Health
- Statistical Modeling
Logistic Regression in R for Public Health
Completed by Seungyeon Jung
June 20, 2020
12 hours (approximately)
Seungyeon Jung'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
