- Predictive Modeling
- Public Health
- Statistics
- Data Wrangling
- Exploratory Data Analysis
- R (Software)
- Probability & Statistics
- Statistical Inference
- Statistical Analysis
- Regression Analysis
- Feature Engineering
- Data Cleansing
Logistic Regression in R for Public Health
Completed by Michael Ojo Oluwalana
January 2, 2021
12 hours (approximately)
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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
