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: Medical Records
- Category: Health Care
- Category: Data Transformation
- Category: Health Information Management
- Category: Data Validation
- Category: Health Insurance Portability And Accountability Act (HIPAA) Compliance
- Category: Machine Learning
- Category: Interoperability
- Category: Data Preprocessing
- Category: Electronic Medical Record
- Category: Medical Privacy
