Empowering Academicians for Data-Driven Teaching and Research with R
Details
In today's academic environment, the ability to analyse data and translate findings into meaningful insights is increasingly important for effective teaching and quality research.
This practical session will explore how academics and researchers can leverage R, a free and powerful statistical programming tool, to improve teaching, conduct statistical analyses, visualise data and produce reproducible research outputs.
Through practical examples and demonstrations, participants will discover how R can simplify research workflows, strengthen analytical skills and support evidence-based decision-making across different academic disciplines.
Target Audience: Lecturers, researchers, postgraduate students and other academics interested in applying R to teaching and research.
Guest Speaker: Dr. David Ifeoluwa OLADAPO - Data Scientist, R Expert & A Lecturer in Statistics at Adeleke University, Ede, Nigeria.


