Catalogue des cours
Explore our comprehensive range of courses in biostatistics, data science, and health informatics.
8 courses found
Applied Data Harmonization, Quality, Analytics and Federated Node Deployment
OMOP Data Engineer Certificate
10-week blended professional certificate 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.
Course director: Prof Dr Marc Twagirumukiza, MD, PhDAssistant course directors: Carine Umulisa, Daniel Nsanzabandi, EpiScientia Mentor
Topics covered:
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.
Course director: EpiScientia MentorAssistant course directors: Prof Dr Marc Twagirumukiza, MD, PhD
Topics covered:
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.
Course director: Prof Dr Marc Twagirumukiza, MD, PhDAssistant course directors: Assigned soon
Topics covered:
Data Visualisation & Dashboards
Creating effective visualisations and interactive dashboards for public health surveillance data using R Shiny, Python Dash, and Tableau.
Course director: Prof Dr Marc Twagirumukiza, MD, PhDAssistant course directors: Assigned soon
Topics covered:
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.
Course director: Prof Dr Marc Twagirumukiza, MD, PhDAssistant course directors: Assigned soon
Topics covered:
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.
Course director: Assigned soonAssistant course directors: Assigned soon
Topics covered:
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.
Course director: Assigned soonAssistant course directors: Assigned soon
Topics covered:
Infectious Disease Modelling
Mathematical and computational approaches to modelling infectious disease transmission, outbreak detection, and intervention effectiveness using compartmental and agent-based models.
Course director: Assigned soonAssistant course directors: Assigned soon
Topics covered:
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