Catalogo de Cursos

Explore our comprehensive range of courses in biostatistics, data science, and health informatics.

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8 courses found

Applied Data Harmonization, Quality, Analytics and Federated Node Deployment

OMOP Data Engineer Certificate

10-week blended professional certificate (opened by a 1-day induction hackathon) that develops data engineers able to lead local health-data harmonization at African data-owner institutions: source profiling, structural and semantic mapping, reproducible ETL into the OMOP CDM, data-quality validation, ATLAS cohorts and analytics, and a Dockerised Vantage6 federated data-owner node. Rwanda pilot with extension to African data-owner institutions.

10 weeks + induction day10 credits

Course director: Prof Dr Marc Twagirumukiza, MD, PhDAssistant course directors: Carine Umulisa, Daniel Nsanzabandi, EpiScientia Mentor

Topics covered:

OMOP CDM & OHDSI ecosystemWhiteRabbit source profilingRabbit-in-a-Hat structural mapping+7 more

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Check in nowWeek 0 — Induction course — 1-day hackathon · 2026-10-02

Foundation

Foundations of Biostatistics

Core statistical concepts for health data analysis including probability distributions, hypothesis testing, regression analysis, and survival analysis with applications to infectious disease data.

12 weeks15 credits

Course director: EpiScientia MentorAssistant course directors: Prof Dr Marc Twagirumukiza, MD, PhD

Topics covered:

Probability TheoryHypothesis TestingRegression Analysis+1 more

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Foundation

Research Methods & Ethics

Essential research methodology for health sciences including study design, ethical considerations, GDPR compliance, and informed consent in multi-country health data research.

6 weeks8 credits

Course director: Prof Dr Marc Twagirumukiza, MD, PhDAssistant course directors: Assigned soon

Topics covered:

Study DesignResearch EthicsGDPR Compliance+1 more

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Intermediate

Data Visualisation & Dashboards

Creating effective visualisations and interactive dashboards for public health surveillance data using R Shiny, Python Dash, and Tableau.

6 weeks8 credits

Course director: Prof Dr Marc Twagirumukiza, MD, PhDAssistant course directors: Assigned soon

Topics covered:

R ShinyPython DashTableau+1 more

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Intermediate

Machine Learning for Health Data

Practical machine learning techniques applied to health datasets, covering supervised and unsupervised learning, feature engineering, model validation, and deployment strategies.

10 weeks12 credits

Course director: Prof Dr Marc Twagirumukiza, MD, PhDAssistant course directors: Assigned soon

Topics covered:

Supervised LearningUnsupervised LearningFeature Engineering+1 more

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Advanced

Advanced Biostatistics & Causal Inference

Advanced statistical methods including Bayesian analysis, causal inference, propensity score matching, and meta-analysis with applications to real-world evidence studies.

12 weeks15 credits

Course director: Assigned soonAssistant course directors: Assigned soon

Topics covered:

Bayesian AnalysisCausal InferencePropensity Scores+1 more

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Advanced

Big Data Engineering

ETL pipeline development, distributed computing with Apache Spark, cloud infrastructure for health data processing, and data quality assurance in large-scale health datasets.

10 weeks12 credits

Course director: Assigned soonAssistant course directors: Assigned soon

Topics covered:

ETL PipelinesApache SparkCloud Computing+1 more

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Advanced

Infectious Disease Modelling

Mathematical and computational approaches to modelling infectious disease transmission, outbreak detection, and intervention effectiveness using compartmental and agent-based models.

10 weeks12 credits

Course director: Assigned soonAssistant course directors: Assigned soon

Topics covered:

SIR/SEIR ModelsAgent-Based ModelsOutbreak Detection+1 more

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