Public Health Data Analyst
From Beginner to Proficient Analyst
Supported by the Data Science Catalytic Fund at the Global Fund, this five-course sequence will build up your expertise in data analysis for epidemiology.
By the end, you will be able to:
- Wrangle and analyze health data in R
- Create reproducible documents and dashboards with RMarkdown
- Visualize geographic and time trends for diseases like HIV, tuberculosis, and malaria
- Automate workflows for data processing and visualization
- Communicate public health insights with effective data reports
Who the Courses are for
All health professionals, students, researchers and policy-makers looking to build skills for epidemiological data analysis and reporting.
The sequence is developed for beginners, but those already experienced with R may jump to the “Further Data Analysis with R” course, where more advanced content begins, including HIV, TB and Malaria epidemiological analyses.
Funders & Partners
We are grateful to the following organizations for their support.
The courses below combine rich videos, interactive quizzes, and practical assignments to build health data science expertise.
Work with dates, strings, factors, joins, loops, and functions to wrangle complex epidemiological data into impactful public health insights.
ESTIMATED TIME TO COMPLETE: 5 WEEKS
APPLIED R FOR EPI
Polish your R skills for epi analysis and communication with application to HIV, TB, and malaria data – visualize demographics, geospatial patterns and temporal trends in reproducible reports.
ESTIMATED TIME TO COMPLETE: 3 WEEKS