Mathematical Methods in Zoology Using R

Modern zoological research relies heavily on data, yet turning raw biological observations into meaningful scientific insights can be challenging. This text-based course guides you through the essential mathematical and statistical methods used to analyze animal behavior, populations, and ecological relationships. You will transition from manual calculations to writing clean, reproducible R code, enabling you to process biological datasets, run statistical tests, and interpret complex zoological data with confidence. What you'll learn: - Understand foundational mathematical concepts and statistical distributions relevant to zoology. - Apply data manipulation techniques using modern R packages to clean raw biological observations. - Perform hypothesis testing, including t-tests, ANOVA, and non-parametric alternatives on animal datasets. - Model population dynamics and ecological relationships using regression analysis. - Create clear, publication-ready biological data visualizations to communicate research findings. - Practice interpreting statistical outputs to draw accurate biological conclusions. The course begins with fundamental biological data concepts and R programming basics before advancing to statistical modeling, population equations, and practical data analysis exercises. You will read clear explanations, study structured code examples, and solve written analysis scenarios. This course is designed for biology students, aspiring zoologists, and researchers who are new to R programming and statistical data analysis. No prior programming or advanced mathematics background is required. Start mastering the analytical tools of modern zoology today.