**About This Session:** Science data analysis relies on mathematical and statistical reasoning that develops across grade levels. Co-facilitated by the NSTA Professional Learning Team and Tuva, this workshop explores how NGSS Science and Engineering Practices connect with grade-level math standards to support student data analysis and interpretation. Participants will analyze authentic science datasets to identify grade-level mathematical, statistical, and data skills. They will examine how these math standards and science practices align and discover how to leverage math learning to strengthen science sensemaking. **Takeaways:** Participants will identify grade-level data and statistical reasoning skills and examine how they support student use of the Science and Engineering Practices. Teachers will leave with strategies for connecting mathematics learning to data-rich science instruction. **Presenters:** Jocelyn Foran (Tuva Science Education Specialist) and Brianna Reilly Oliveira (NSTA Director of Professional Learning)