Hypothesis testing courses can help you learn statistical significance, p-values, confidence intervals, and the formulation of null and alternative hypotheses. You can build skills in analyzing data sets, interpreting results, and making informed decisions based on statistical evidence. Many courses introduce tools like R, Python, and Excel, which are commonly used for conducting tests such as t-tests, chi-square tests, and ANOVA, allowing you to apply your knowledge to real data analysis tasks.