- Descriptive Statistics
- Regression Analysis
- Probability & Statistics
- Data Cleansing
- Exploratory Data Analysis
- Predictive Modeling
- Feature Engineering
- Statistical Inference
- R (Software)
- Statistical Analysis
- Data Wrangling
- Public Health
Logistic Regression in R for Public Health
Completed by Baldemal Alejandro Thompson Sánchez
August 20, 2021
12 hours (approximately)
Baldemal Alejandro Thompson Sánchez '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
