Big Data in Healthcare Course
This course equips learners with essential skills to apply big data analytics in healthcare, focusing on predictive modeling for patient readmissions, data handling, feature engineering, model evaluation, and secure deployment practices to ensure effective and ethical use of AI in clinical settings.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Big Data in Healthcare Course teaches you how to frame real-world readmission problems, explore complex U.S. datasets, and engineer powerful clinical, temporal, and cost features. Learn proven modeling, evaluation, and imbalance techniques, then master secure, compliant deployment, EHR integration, workflow design, and continuous monitoring so predictive tools stay accurate, fair, and operationally effective.
Elevify advantages
Develop skills
- Clinical problem framing: turn heart failure readmissions into clear ML goals.
- Healthcare data assessment: spot leakage, bad codes, and timeline errors fast.
- Feature engineering for EHR: build cost, utilization, and comorbidity predictors.
- Model evaluation in healthcare: pick metrics, handle imbalance, explain risk.
- Safe deployment in hospitals: integrate into EHR, monitor drift, bias, and impact.
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 workload.What our students say
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