Logistic Regression and Prediction for Health Data
Completed by Gokhan Gokhaner
April 9, 2026
11 hours (approximately)
Gokhan Gokhaner '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: Logistic Regression
- Category: Statistical Methods
- Category: Epidemiology
- Category: Probability & Statistics
- Category: Statistical Analysis
- Category: Biostatistics
- Category: Predictive Analytics
- Category: Statistical Inference
- Category: Regression Analysis
- Category: Descriptive Statistics
- Category: Statistical Modeling
- Category: Predictive Modeling
