Statistical Analysis and Data Modeling in Healthcare
Completed by María Alejandra Vera Balcarcel
April 19, 2026
8 hours (approximately)
María Alejandra Vera Balcarcel's account is verified. Coursera certifies their successful completion of Statistical Analysis and Data Modeling in Healthcare
What you will learn
Apply core statistical concepts, including descriptive and inferential statistics, to analyze and interpret healthcare data effectively.
Apply mathematical techniques to perform hypothesis testing, correlation analysis, and regression modeling in clinical and operational contexts.
Design and implement data models that support clinical decision-making, population health analysis, and healthcare operations.
Evaluate and validate statistical models using appropriate metrics to ensure accuracy, reliability, and ethical use of healthcare data.
Skills you will gain
- Category: Statistical Hypothesis Testing
- Category: Descriptive Analytics
- Category: Machine Learning Software
- Category: Data Literacy
- Category: Data Analysis Software
- Category: Data Analysis
- Category: Supervised Learning
- Category: Predictive Analytics
- Category: Clinical Data Management
- Category: Random Forest Algorithm
- Category: Decision Tree Learning
- Category: Machine Learning Methods
