- Model Evaluation
- Predictive Analytics
- Sample Size Determination
- Predictive Modeling
- Precision Medicine
- Statistical Inference
- Data Preprocessing
- Health Informatics
- Supervised Learning
- Preventative Care
- Regression Analysis
- R Programming
Population Health: Predictive Analytics
Completed by Asma HAICHOUR
September 7, 2024
22 hours (approximately)
Asma HAICHOUR's account is verified. Coursera certifies their successful completion of Population Health: Predictive Analytics
What you will learn
Understand the role of predictive analytics for prevention, diagnosis, and effectiveness
Explain key concepts in prediction modelling: appropriate study design, adequate sample size and overfitting
Understand important issues in model development, such as missing data, non-linear relations and model selection
Know about ways to assess model quality through performance measures and validation
Skills you will gain
