This course covers the practical application of t-tests in R, beginning with reading and manipulating data and checking essential statistical assumptions. You will learn to perform one-sample and two-sample t-tests — including both independent-samples and paired-samples designs — as well as non-parametric alternatives like the Mann-Whitney U test. The course concludes with determining effect sizes and plotting your results for clear data communication.