Logistic Regression and Prediction for Health Data
Completed by Jun Yang
January 13, 2026
11 hours (approximately)
Jun Yang's account is verified. Coursera certifies their successful completion of Logistic Regression and Prediction for Health Data
What you will learn
Understand how binary outcomes arise and know the difference between prevalence, risk ratios, and odds ratios
Use logistic regression to estimate and interpret the association between one or more predictors and a binary outcome
Understand the principles for using logistic regression to make predictions and assessing the quality of those predictions
Skills you will gain
- Category: Statistical Methods
- Category: Statistical Hypothesis Testing
- Category: Logistic Regression
- Category: R Programming
- Category: Model Evaluation
- Category: Data Analysis
- Category: Descriptive Statistics
- Category: Predictive Analytics
- Category: Predictive Modeling
- Category: Epidemiology
- Category: Probability & Statistics
- Category: Biostatistics

