Raw data requires further processing for it to become useful, valuable information. Although raw data has the potential to become \information,\ it requires selective extraction, organization, and sometimes analysis and formatting for presentation. This course introduces you to the processes by which data is analyzed and converted from raw resources into valuable information and knowledge. Data is crucial for equity, as it can be created, collected, used, and disseminated by organizations and social movements to advance equitable community change.

In this course, you will have an opportunity to ask and write questions about a community's social, economic, and environmental conditions and how those conditions change over time. You will develop data-gathering techniques and determine where to find reliable data to answer research questions. You will identify data analysis techniques and ways that data are used in racial equity analyses, environmental impact statements, and other critical examinations of community conditions. Finally, you will use basic data analysis techniques to answer specific community research questions, directly equipping you with the necessary awareness and knowledge to build better communities through equitable change.