Applied Biostatistics for Data Science Course
This course equips data scientists with biostatistical methods to analyze educational outcomes, predict student completion, and design effective interventions through hands-on projects in data cleaning, statistical testing, modeling, and experimentation.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Applied Biostatistics for Data Science Course provides practical tools to analyse completion outcomes, design robust experiments, and build validated logistic regression models. You will clean and prepare cohort data, run appropriate tests, create clear EDA and performance reports, and translate model results into ethical, actionable recommendations stakeholders can trust and implement quickly.
Elevify advantages
Develop skills
- Applied EDA for cohorts: fast, reproducible reports that highlight completion gaps.
- Group comparison mastery: choose and report tests, p-values, and effect sizes clearly.
- Logistic models for churn: build, validate, and interpret completion prediction tools.
- Data prep for learning analytics: clean, impute, and engineer features that matter.
- A/B testing for education: design, power, and analyse experiments to lift completion.
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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