This course will teach students how to utilize available data to think critically about the world we live in. Using the history of homeownership equity in Harlem as a case study, students will go through the process of collecting and analyzing open-source data to foster discussion and thought on the subject. The beginning portion of the class will be a short, interactive introductory lecture into the Harlem of the last century. The second portion will be a hands-on, interactive activity, where students will be walked through a simplistic yet powerful data collection and analysis process, which will include accessing publicly available data, manipulating it (using Python, Excel, Google Sheets, or another software), and creating useful graphics to provide meaningful insight into the data. Finally, students will engage in a group and class discussion, where the class will discuss how we can use the data visualizations/graphs that we created to better understand and conceptualize the world around us, with an added focus on how we can look forward and make meaningful contributions to communities around us.