Clinical Data Science Course
This course provides hands-on training in developing reliable clinical prediction models using real-world electronic health record (EHR) data, covering data preparation, modeling techniques, evaluation metrics, bias mitigation, and deployment strategies for ethical AI in healthcare.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Clinical Data Science Course equips you with practical skills to construct, validate, and interpret trustworthy prediction models using actual clinical data. You will learn data preparation, feature engineering, binary outcome modelling, and managing imbalance, then advance to metrics, calibration, bias reduction, monitoring, and effective communication to ensure your models are precise, equitable, and prepared for secure, real-world application.
Elevify advantages
Develop skills
- Build clean clinical datasets: prepare, encode, and scale hospital EHR data quickly.
- Engineer powerful clinical features: vitals, labs, comorbidities, and timelines.
- Train and validate readmission models with robust, leakage-safe metrics.
- Explain model predictions to clinicians with clear, actionable risk insights.
- Implement ethical, monitored clinical AI with bias checks and safeguards.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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