In this podcast episode, Rebecca Nugent, the Associate Head and Co-Director of Undergraduate Studies for the Carnegie Mellon Statistics & Data Science Department, discusses the importance of making Data Science education accessible. She speaks about her work at CMU and how she is studying how to teach Data Science and build entry points into the field for people of all backgrounds and ages in a bid to make Data Science more inclusive. She also encourages open-mindedness in teaching Data Science, highlighting that the education does not need to start with programming and people can benefit from learning about the conceptual ideas first as well. Furthermore, she emphasizes the importance of data literacy as well as the risk of inequity in society that limited access to data poses. Finally, she discusses how scaling poses a challenge in the ever-growing field of Data Science and how educators need more investment and resources for pedagogical innovations.