Experimental Data Analysis in Biology introduces the basic concepts of statistics applied to microbiology, with a practical approach based on free software (R, Python, Jamovi) and AI tools. The course shows you how to describe and visualize experimental data, understand the probability laws behind biological phenomena, estimate values with confidence intervals, and choose the right statistical test to compare groups. It also covers the relationship between variables, an introduction to multivariate analysis, and the responsible use of AI to assist with data analysis, including its limits and ethical issues.
