Reproducible Ag Data Science with R
Welcome 🚜 🌽
In this special module of the UNIV6020 course, you’ll dive into key principles and practices for reproducible data science within the context of agriculture. Throughout our time together, you’ll gain hands-on experience in R, learning how to structure, analyze, and present data in a way that ensures transparent and reproducible frameworks, essential in today’s data-driven world of agriculture. Your understanding will be assessed with a short quiz to reinforce these core concepts.
Looking forward to explore the power of reproducibility in agricultural data science!
Dr. Adrian Correndo
acorrend@uoguelph.ca
Assistant Professor | Sustainable Cropping Systems
Department of Plant Agriculture, University of Guelph
For our Friday coding session, it is expected that students have:
i. the latest version of R & RStudio installed.