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Are you a public health professional, data analyst, student, or researcher eager to unlock the power of location-based insights?

Join us for this hands-on training designed to equip you with practical skills in geospatial data analysis using R.
Using real-world data, you’ll learn how to import and visualize shapefiles, merge health data, perform spatial clustering analysis, and detect disease hotspots using Local Indicators of Spatial Association (LISA).
This training will guide you step-by-step from raw data to meaningful maps and spatial statistics that can inform health interventions and decision-making.
📍 Learn. Map. Analyze. Interpret.
No prior GIS experience required, just a passion for learning!

Related topics

Big Data
Data Analytics
Data Science using R
Data Visualization
Predictive Analytics

Sponsors

R-Ladies Global

R-Ladies Global

R-Ladies Global

R Consortium

R Consortium

R Consortium provides grants to support the communities

Business Data Laboratory

Business Data Laboratory

Business-Data-Research

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