Engaging Self-Paced Courses
Developed with the Universities of Geneva and Oxford, WHO, and the Global Fund, our growing catalog of courses combine rich videos, interactive quizzes, and practical assignments for health data science expertise.
Build statistical expertise with the FoSSA course from Oxford’s Nuffield Department of Population Health. Gain practical skills in hypothesis testing, linear and logistic regression, survival analysis, and more. All in R, STATA or SPSS.
ESTIMATED TIME TO COMPLETE: 6 WEEKS
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
DATA SCIENCE TOOLS
Intro to Geospatial Visualization with R (Coming Soon)
Unlock the power of geospatial analysis with R. Learn how to map and display data geographically using the ggplot2, sf and leaflet packages.
OPENS: MID 2024
ESTIMATED TIME TO COMPLETE: 4 WEEKS
Immersive Live Bootcamps
In addition to our self-paced courses, we also offer a live bootcamp that brings together the best tools and practices for online pedagogy.
If you’d prefer a guided learning experience with live instruction and support, sign up for our upcoming bootcamps HERE.