Fundamentals of Data Science in Healthcare
Completed by Nahir Ricarte
June 1, 2026
8 hours (approximately)
Nahir Ricarte'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 Transformation
- Category: Health Information Management
- Category: Data Validation
- Category: Medical Coding
- Category: Electronic Medical Record
- Category: Medical Privacy
- Category: Health Insurance Portability And Accountability Act (HIPAA) Compliance
- Category: Data Integration
- Category: Feature Engineering
- Category: Data Quality
- Category: Health Informatics
