Statistical analysis has become an essential component in life science research for analyzing experimental data, experimental design, and exploratory analysis. This course is tailored to an audience of graduate students and researchers working in biological sciences and more broadly disciplines working with experimental or simulated data. We will introduce some widely used methodologies in contemporary research, such as hypothesis testing, nonparametric approaches, cross-validation and bootstrapping. To ensure the correct use of these statistical tools and to be able to generalize to new scenarios, we will also discuss some of the fundamental theories behind these methods. The students will gain practical experience from homework problems including programing and use of packages.