Expert Certificate in Health Data Analytics & Programme Evaluation
An expert‑level programme for data scientists, epidemiologists, and senior M&E professionals. Over 4 weeks, you will master advanced health data analytics, predictive modelling, machine learning applications in health, and rigorous programme evaluation methods. Designed to equip you with cutting‑edge analytical skills for evidence‑based health decision‑making.
Health Data Analytics and Programme Evaluation
Programme Overview: This expert certificate bridges the gap between data science and public health evaluation. You will learn to wrangle, analyse, and visualise complex health datasets, apply machine learning for predictive analytics, design and implement rigorous programme evaluations, and communicate data‑driven insights to stakeholders. Ideal for professionals working with DHIS2, electronic health records, survey data, and real‑time health information systems. Practical sessions use R, Python, Power BI, and other industry‑standard tools.
Expert Curriculum – 4 Advanced Modules (24 Topic Units)
Foundations of Health Data Analytics
- Health data ecosystems: DHIS2, EHRs, claims data, surveys
- Data wrangling and preprocessing for health datasets
- Exploratory data analysis (EDA) for public health
- Descriptive analytics: trends, patterns, outliers in health data
- Data visualisation best practices (Power BI, Tableau, R ggplot2)
- Ethical data use and privacy protection in health analytics
Advanced Analytics & Machine Learning in Health
- Predictive modelling for disease outbreaks and patient risk
- Classification algorithms (logistic regression, random forests, XGBoost)
- Time series analysis for health surveillance data
- Natural language processing for clinical notes and patient feedback
- Geospatial analytics and disease mapping (GIS, QGIS, ArcGIS)
- Case study: Predicting malaria hotspots using machine learning
Rigorous Programme Evaluation Methods
- Impact evaluation designs: RCTs, quasi‑experiments, difference‑in‑differences
- Propensity score matching and instrumental variables
- Interrupted time series for health policy evaluation
- Cost‑effectiveness and cost‑benefit analysis in health
- Mixed methods evaluation: integrating qualitative and quantitative data
- Case study: Evaluating a national vaccination campaign
Data-Driven Decision Making & Capstone
- Translating analytics into actionable health policy
- Building interactive dashboards for health programme monitoring
- Communication strategies for data‑driven storytelling
- Ethical AI and bias mitigation in health analytics
- Capstone: End‑to‑end health data analytics and evaluation project
- Peer review and presentation of findings
Master Health Data Analytics & Evaluation at Expert Level
Gain cutting‑edge skills that are in high demand across health ministries, NGOs, and global health organisations.
Data Science Skills
Master Python, R, Power BI, and machine learning for health.
Evaluation Rigour
Apply quasi‑experimental designs and economic evaluation.
Geospatial Analytics
Use GIS for disease surveillance and health resource mapping.
Predictive Analytics
Forecast disease outbreaks and patient outcomes using ML.
For Health Data Scientists & Senior Evaluators
This expert certificate is tailored for professionals who want to combine advanced analytics with rigorous programme evaluation.
What Expert Graduates Say
"The machine learning module transformed how we predict disease outbreaks. I now lead our national early warning system using the tools I learned here."
— Joash M., Data Science Lead, Kenya
"The combination of data analytics and programme evaluation is exactly what global health needs. I used the capstone project to redesign our HIV programme's M&E framework."
— Temitope B., Nigeria
"The GIS and spatial analytics unit was outstanding. I now produce health resource maps that guide our malaria elimination strategy. Highly recommended."
— Jacintha F., Philippines
Become an Expert in Health Data Analytics & Evaluation
Enrol in the 4‑Week Expert Certificate in Health Data Analytics and Programme Evaluation. Gain advanced analytical skills, a verifiable credential, and join a global network of health data experts.
Questions About the Expert Certificate?
Speak with our admissions team to discuss prerequisites, curriculum, and how this programme fits your career goals in health data science and evaluation.
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