  It is becoming increasingly important that physics educators equip their
students with the skills to work with data effectively. However, many educators
may lack the necessary training and expertise in data science to teach these
skills. To address this gap, we created the Data Science Education Community of
Practice (DSECOP), bringing together graduate students and physics educators
from different institutions and backgrounds to share best practices and lessons
learned from integrating data science into undergraduate physics education. In
this article we present insights and experiences from this community of
practice, highlighting key strategies and challenges in incorporating data
science into the introductory physics curriculum. Our goal is to provide
guidance and inspiration to educators who seek to integrate data science into
their teaching, helping to prepare the next generation of physicists for a
data-driven world.
