Catalogue des cours
Explore our comprehensive range of courses in biostatistics, data science, and health informatics.
8 courses found
Infectious Disease Modelling
Mathematical and computational approaches to modelling infectious disease transmission, outbreak detection, and intervention effectiveness using compartmental and agent-based models.
Instructor: Prof. Thomas Mbeki
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Data Visualisation & Dashboards
Creating effective visualisations and interactive dashboards for public health surveillance data using R Shiny, Python Dash, and Tableau.
Instructor: Ms. Fatima Hassan
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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.
Instructor: Prof. Marc Van der Berg
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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.
Instructor: Dr. Amina Ndiaye
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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.
Instructor: Mr. David Okonkwo
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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.
Instructor: Prof. Jean-Baptiste Gatete
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Health Informatics & OMOP CDM
Introduction to health informatics standards, the OMOP Common Data Model, medical terminologies, and the OHDSI tools ecosystem for standardised health data analysis.
Instructor: Dr. Elena Rodriguez
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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.
Instructor: Dr. Grace Uwimana
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