Clinical Data Science Course
Master clinical data science for healthcare: clean and encode hospital data, engineer powerful features, build and calibrate predictive models, address bias and fairness, and communicate clear, actionable insights to clinicians at the bedside.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Clinical Data Science Course gives you practical skills to build, validate, and explain reliable prediction models using real-world clinical data. Learn data preparation, feature engineering, binary outcome modeling, and handling imbalance, then master metrics, calibration, bias mitigation, monitoring, and clear communication so your models are accurate, fair, and ready for safe, real-world deployment.
Elevify advantages
Develop skills
- Build clean clinical datasets: prep, encode, and scale hospital EHR data fast.
- 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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