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, feature engineering from electronic health records, and ensuring compliant, effective deployment of ML solutions.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Big Data in Healthcare Course shows you how to frame real-world readmission problems, explore complex datasets, and engineer powerful clinical, temporal, and cost features. Learn proven modelling, 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, utilisation, 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
Your classes are perfect. I got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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