How can we design tools for learning data science that are easy for K12 students to use, but that are also powerful enough to get students working with multivariate datasets and meaningful models? Join us as we discuss the journey of developing Jupyter Everywhere - an open education resource designed to seamlessly and sustainably bring professional data science capabilities to K12 classrooms. We’ll also explore the evolution of data science education—how it has been taught, the challenges teachers have faced, and the key lessons learned from developing tools for real classrooms.