**\#\#\# Overview**
Reproducibility is at the heart of good data science. This session will explore how R users can build reliable, shareable, and consistent workflows using \*RStudio Projects, \*\*renv, and \*\*Version Control (Git and GitHub)\*. Participants will learn how to structure R projects for clarity, manage package dependencies with renv to ensure results remain consistent over time, and track project changes using Git. The session blends practical demonstrations with best practices to help participants move from ad-hoc analysis to a more professional, reproducible workflow.
**\#\#\# Audience Takeaway**
By the end of the session, participants will be able to:
\* Organize their R projects effectively using RStudio Projects.
\* Create isolated and reproducible environments with \*renv\*.
\* Use \*Version Control (Git and GitHub)\* to track changes, collaborate, and maintain clean project histories.
\* Combine these tools to ensure their analyses are transparent, reproducible, and easy to share with others.
Whether you are a student, researcher, or data analyst, you will leave with a clear understanding of how to make your R workflow both professional and reproducible.

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**\#\#\# About the Speaker**
Ezekiel Adebayo Ogundepo is a statistician and data scientist who applies data-driven methods to economics, climate, and health, creating tools that turn evidence into action. He earned First Class Honours in Statistics from the University of Ilorin and a Master’s in Mathematical Sciences from AIMS Rwanda.
He serves as Lead Statistician Consultant at Redwire Group, where he leads the sampling design and analytics workflow for a multidimensional poverty project across northern Nigeria. His experience spans roles at 54gene and Data Science Nigeria, where he managed analytics projects for the Bill & Melinda Gates Foundation and the Mastercard Foundation.
Ezekiel is an RStudio Tidyverse Certified Instructor and the creator of the R packages bulkreadr and forstringr. He authored the forthcoming Statistics and Data Analysis with R: A Lab-Based Approach and co-edited the Beginners’ Artificial Intelligence & Python Programming Book for schools.
He has received numerous awards and fellowships, including Mastercard Scholar, Federal Government of Nigeria FSB Scholar, UNLEASH Talent, Heidelberg Laureate Forum Fellow, and Capacity Accelerator Network Fellow with the Global Partnership for Sustainable Development Data. He is passionate about open data, reproducible science, and mentoring new R users across Africa.

Ezekiel Adebayo Ogundepo

Reproducible Workflow with RStudio Project, renv, and Version Control

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Abuja R User Group

Reproducible Workflow with RStudio Project, renv, and Version Control

Abuja R User Group

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