Fundamentals of Data Science in Healthcare
Completed by Ian Besse
April 19, 2026
8 hours (approximately)
Ian Besse's account is verified. Coursera certifies their successful completion of Fundamentals of Data Science in Healthcare
What you will learn
Describe the characteristics, challenges, and analytical roles of major healthcare data sources, including EHRs, claims, and registries.
Explain essential healthcare data standards and their importance in interoperability and structured analytics.
Apply data preprocessing and quality assessment techniques, including handling missing data, temporal alignment, and feature engineering.
Implement privacy-preserving preparation steps that ensure HIPAA-aligned handling of healthcare datasets.
Skills you will gain
- Category: Data Processing
- Category: Data Quality
- Category: Data Cleansing
- Category: Health Informatics
- Category: Machine Learning
- Category: Data Validation
- Category: Data Integration
- Category: Medical Privacy
- Category: Health Care
- Category: Data Preprocessing
- Category: Clinical Data Management
- Category: Feature Engineering
