How It Works
From application to your first published analysis, here is what to expect
01Apply
Tell us about your research background and what you want to do differently.
02Get Accepted
We read every application. If you are a good fit, your spot is confirmed and materials sent.
03Learn Live on Discord
Every module taught live. You ask questions. Real data problems, solved together.
04Apply It to Your Research
Use what you learn in your thesis, paper, or lab. Skills that show up in your actual science.
Our Programmes
Research methods training designed for scientists who work with data
Now OpenQuantitative Methods
R for Quantitative Research
Learn to analyse experimental and field data using R — statistics, data visualisation, and experimental designs for agricultural and biological sciences.
See full curriculum
Coming SoonQualitative Methods
Qualitative Research Methods
Structured approaches to interviews, focus groups, and thematic analysis — for social scientists and mixed-methods researchers.
Coming SoonSpatial Analysis
QGIS & Spatial Analysis
Geospatial data analysis for land use, crop mapping, ecology, and environmental research using free open-source tools.
Why EvolvLearn
Built for people serious about their research
Not for people looking for shortcuts. Not for people who want a certificate. For researchers who need to actually understand their data.
Live, Interactive Sessions
Every module is taught live on Discord — ask questions, solve problems in real time. No pre-recorded videos.
The Teaching Team
Learn from people who do the work
Every tutor at EvolvLearn is an active researcher or practitioner, not a career teacher. You learn from people who use these tools in the field every day.
Moshood Owolabi
Founder · R & StatisticsNigerian researcher, Erasmus Mundus Scholar, and professional Data Engineer based in Europe. He started EvolvLearn after watching brilliant researchers stall because no one had taught them to handle their data. Every cohort he teaches personally benefits from his hands-on guidance.
Adamu Masari
Plant Breeder · R & StatisticsEarly-career plant breeder with strong experience in agricultural research. Skilled in R-based statistical analysis and data visualization, with several articles published in peer-reviewed open access journals.
Rildwan Ishola
QGIS · Spatial AnalysisBased in Nigeria, Rildwan is a videographer with deep expertise in QGIS and spatial analysis. He brings visual storytelling and technical precision to every lesson, making spatial data feel intuitive and practical.
From Our Researchers
What participants say
Real words from people who came in with messy data and left with clean, analysed results.
"Working with R used to feel like reading a foreign language. After two months with EvolvLearn, I analysed my entire dissertation dataset myself, no statistician needed."
Fatima Aliyu
MSc Agronomy · University of Ibadan
Cohort 1
"The live sessions on Discord made all the difference. I could ask questions in real time and watch the exact code being typed. It felt like sitting beside a mentor, not watching a recording."
Ibrahim Bello
PhD Candidate · ABU Zaria
Cohort 2
"I had tried YouTube tutorials before and nothing stuck. EvolvLearn's structure; the assignments, the feedback, the follow-through, that is what made it work for me this time."
Emeka Okafor
Research Officer · IITA Kano
Cohort 1