Data Analysis in Healthcare Course
This course equips you with essential skills to transform raw hospital data into powerful insights. Delve into data cleaning, exploratory analysis of readmissions and length of stay, statistical interpretations, KPI dashboard creation, and intervention strategies that enhance patient care and hospital performance sustainably.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain hands-on expertise in cleaning, analysing, and interpreting healthcare datasets to boost patient outcomes and operational efficiency. Master cohort building, readmission and length-of-stay calculations, basic regression models, reliability checks, and creating actionable dashboards and reports for informed, evidence-driven decisions.
Elevify advantages
Develop skills
- Clean healthcare data by handling errors, missing values, and patient IDs from actual hospital records.
- Conduct exploratory data analysis profiling length of stay and readmissions using tables and charts.
- Understand key healthcare statistics including risk assessment, regression, and confidence intervals.
- Track performance impacts by developing KPI dashboards and control charts for leadership.
- Convert evidence from literature and EHR data into strategies reducing readmissions effectively.
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 purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

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

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The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.

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