The project aims to serve the national need of preparing the workforce to use data and advanced technologies such as artificial intelligence (AI) to solve problems. Data skills are important in science, technology, engineering, and math (STEM) careers, but all children will need to learn how to create, interpret, and apply data to be informed citizens. Unfortunately, many teachers lack experience with these topics or tools. They also lack opportunities to learn how these skills are applied in real STEM jobs. This means they may not be able to teach their students these skills or tell them about the jobs in these fields. This project is designed to teach prospective and practicing STEM teachers to use data and advanced technology in real science research. Teachers will learn to use the software Orange, which does not require a background in coding or analysis. Because it is easy to use, teachers can learn basic data skills quickly. After learning data and AI skills, teachers will use them in real bioscience research. They will also create classroom lessons and participate in activities to help build their confidence as members of the science community. By building their own skills and confidence in data and technology, teachers may be able to better prepare their students for future careers. This project at Baylor College of Medicine includes partnerships with Prairie View A&M University, Texas Southern University, Houston Christian University, St. Thomas University, the Un