Urban Methods 1 provides a comprehensive introduction to data analysis and visualization, with a strong foundation in the theory of data collection, including common biases and limitations. Students will engage in project-based learning, designing and conducting surveys to collect real-world data, which they will then analyze and visualize using statistical techniques. With an emphasis on influencing public opinion, policy, and decision-making, the course bridges quantitative urban research with representational practices such as visualization, mapping, and critical cartography. Emphasis is placed on developing practical skills in R-Project and R-Studio, enabling students to perform rigorous data manipulation, statistical testing, and create compelling visualizations. By integrating theory with hands-on experience, the course prepares students to critically evaluate data quality and draw meaningful insights from quantitative research.