Data Wrangling and Reproducible
Workflow in R
A free hands-on 2-day introduction to R. Learn how to import, clean, and wrangle real datasets, and build reproducible analytical workflows you can apply immediately in your work.
Why learn R for data wrangling?
R is one of the most powerful tools available for data analysis, statistical modelling, and reproducible research. This free webinar introduces you to R in a practical, hands-on way with no prior programming experience required.
By the end of both sessions, you will be able to load real datasets into R, clean and reshape them with tidyverse tools, and document your analysis in a fully reproducible workflow. These are skills directly applicable to M&E, public health, research, and data science roles.
What you will learn- Getting started with R and RStudio: interface, projects, and scripts
- R fundamentals: data types, vectors, data frames, and basic operations
- Importing data: reading CSV, Excel, and other common file formats into R
- Data wrangling with tidyverse: filter, select, mutate, summarise, and group_by
- Handling missing values and transforming messy real-world datasets
- Live Q&A
- Introduction to R Markdown: writing reproducible reports that combine code, output, and narrative
- Data visualisation with ggplot2: grammar of graphics and building publication-ready charts
- Reshaping data with tidyr: pivoting, joining, and tidying tables
- Writing clean, well-structured R scripts for reproducible analysis
- Live Q&A
Register for Free
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Check your inbox for a confirmation email with your Microsoft Teams join links for both sessions. We look forward to seeing you on 25 April and 2 May 2026.