**About the Session:** Data plays a central role in how students make sense of scientific phenomena. In this hands-on session, co-facilitated by the NSTA Professional Learning Team and Tuva, participants will build confidence with foundational data skills while exploring how graphing, statistical reasoning, and data interpretation support students in analyzing evidence, identifying patterns, and constructing explanations. Using real-world datasets and interactive tools in Tuva, participants will examine graph choice, variability, distributions, and common data visualizations through the lens of science instruction. **Takeaways:** Participants will deepen their understanding of core data literacy concepts and learn practical strategies for helping students use data to analyze evidence, identify patterns, and engage in science sensemaking aligned to the NGSS Science and Engineering Practices. **Presenters:** Jocelyn Foran (Tuva Science Education Specialist) and Brianna Reilly Oliveira (NSTA Director of Professional Learning)