Clinical Data Science Course
This course equips learners with hands-on expertise in developing, validating, and deploying trustworthy predictive models for clinical applications using real-world healthcare data.

from 4 to 360h flexible workload
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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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