Square root transformation is a mathematical technique used to stabilize variance and normalize data by applying the square root to each data point, often used with count data or data with skewed distributions. This transformation can make patterns more discernible and improve the performance of statistical models by reducing heteroscedasticity and making the data more symmetric.