Logistic Regression and Prediction for Health Data
Completed by Nosakhare Odionfo Osaro
December 30, 2025
11 hours (approximately)
Nosakhare Odionfo Osaro'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: R Programming
- Category: Model Evaluation
- Category: Data Analysis
- Category: Probability & Statistics
- Category: Descriptive Statistics
- Category: Epidemiology
- Category: Predictive Analytics
- Category: Statistical Analysis
- Category: Statistical Inference
- Category: Regression Analysis
- Category: Logistic Regression
