Import, clean, visualise and report on data with R and RStudio.
R is a programming language and free software environment for statistical computing and beautiful data visualisation. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, etc.
2 Feb – 26 Feb 2027
Registration isn't open yet. Register your interest and we'll contact you first.
R is now widely regarded as the best software for statistical analysis and data science. It is a fast, powerful statistical package designed by statisticians for data analysts of all disciplines. With Base R and a library of packages, the analyst has everything for data management, analysis and data visualisation. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
In this course, participants will experience the desired qualities and functionalities that make R widely preferred. R is absolutely free. It compiles and runs on a wide variety of UNIX platforms, Windows and macOS. Our facilitators are experienced, intentional, interactive and friendly. We invite you to join this course and take your data analysis and visualisation skills to the next level.
Participants will learn to navigate RStudio, understand R's data structures, write and apply functions, access packages and organise clean, well-commented R scripts that support quality control and reproducibility.
R is only as powerful as the analyst using it. After completing this course, participants will be able to take raw data from their own research settings, clean and structure it properly, and produce neat, reproducible analyses and publication-quality graphics entirely in R. They will be proficient in both descriptive and inferential statistics, confident in interpreting and communicating statistical outputs, and better equipped to critically evaluate the analyses they encounter in research papers and reports.
“I have always wanted to become an excellent migration policy analyst, and I knew understanding data was the missing piece. This course helped me connect data analysis with policy and governance. I can now independently explore findings, identify patterns and contribute more meaningfully to evidence-based migration policy discussions.”
“Having worked in data management for about 10 years, I discovered that there were things I had been doing without fully understanding why. This course gave me a clearer understanding of inferential statistics. I also learned valuable teaching techniques, particularly the importance of engaging students and respecting their time.”
“Before this course, I knew what data was but didn’t understand data analysis or how relevant it was to my work. I now see how it can help me organise information, interpret findings, track the impact of my interventions, improve my programmes and make better decisions in mental health and adolescent counselling.”
“I particularly appreciate the teaching method and the respect shown to every participant. I know I still have more to learn, but I now have the confidence and foundation to keep practising.”
Data Analysis using R. Fields marked * are required.
The next cohort is scheduled to start on 2 Feb 2027. Register your interest and we'll confirm the dates, time and fee with you once registration opens.
We'll contact you by email, phone or WhatsApp with the dates, delivery format and fee. Registering your interest doesn't commit you to anything.
Yes. Contact CESAR to discuss your objectives, preferred delivery format and training needs, and we'll tailor the course to your team.
Register your interest and hear first when the next cohort opens.
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