This course focuses on practical aspects and implementation of social data analysis by introducing basic techniques for presenting, analysis, and interpreting quantitative data, to Quantitative Social Analysis major students. This course is deliberately designed as complementary to formal and theory-based introductory statistical courses and substantive and history-based social science courses. 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 this 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 from real-world data. Upon completion of this course, students should have acquired useful skills for social data analysis as well as better understanding of social science research. Enrolment is restricted to students admitted to BSc in Quantitative Social Analysis from 2022-23 and onwards.