This course provides an introduction to the fundamental concepts and methods of statistics as used in social sciences. Students will learn how to summarize and explore data through univariate and bivariate descriptive analysis, develop an understanding of probability and data-generating processes, and build a solid foundation in statistical inference. Core inferential tools covered include one- and two-sample t-procedures, chi-square tests for two-way tables, analysis of variance (ANOVA), and ordinary least squares (OLS) regression. Throughout the course, students will also gain hands-on experience with R (or comparable statistical software) for data management, visualization, and analysis by applying statistical tools to real-world social data. The skills acquired will prepare students for more advanced quantitative coursework and support careers in fields such as finance, marketing, and consulting that rely on data-driven decision-making.