This course focuses on practical aspects and implementation of social data analysis by introducing basic yet hands-on techniques for presenting, analyzing, and interpreting quantitative data, many of which are rarely taught in a regular statistics course. It is deliberately designed as complementary to a formal and theoretically-oriented introductory statistics course. This course introduces basic knowledge about quantitative data analysis from a social scientific perspective, from data generating processes to causal inference. Devoted computing sessions, a signature feature of the course, demonstrate hands-on techniques, such as data extraction, data management, variable manipulation, and descriptive analysis. Students will have the chance to implement ideas and methods from the lectures through in-class exercises, as well as a project, by applying what they learn to real-world data. Upon completion of the course, students should have acquired useful skills for social data analysis as well as a better understanding of quantitative social scientific research.