Blog / Why R Is Still a Serious Choice for Data Analysis in Ghana
Why R Is Still a Serious Choice for Data Analysis in Ghana
Python dominates most conversations about data skills today, but R has never lost its place in statistics-heavy fields — research institutions, universities, health organisations and government agencies across Ghana still rely on it heavily.
What R is particularly strong at
- Rigorous statistical analysis and hypothesis testing
- Publication-quality data visualisation
- Handling survey, research and health data cleanly
- Reproducible analysis reports that combine code, results and narrative
Where this shows up in Ghana specifically
Public health data analysis, academic research and NGO monitoring-and-evaluation work in Ghana frequently run on R, because so much of the global research community standardised on it first.
Our Data Analytics with R course teaches practical statistical analysis and visualisation in R, aimed at people who need to work with real research or survey data.
FAQ
Is R harder to learn than Python?
Neither is inherently harder — R is simply more specialised toward statistics, which the course leans into.
Who typically needs R over Python?
Researchers, statisticians, public health analysts and academics most often need R specifically.