Here, we apply a different approach to increase undergraduate-level exposure to data science and computing. Rather than creating a completely different course, we integrate concepts, data exploration and coding activities into an existing, large-enrollment chemistry course. The large-enrollment course is a core (required) course for all students pursuing STEM degrees and taken by the vast majority of pre-medical track students. The average enrollment for the course is 400-600 students per semester, which provides exposure to significantly more students per semester than the other pedagogical approaches outlined above. In this article, we describe our teaching method, supply our teaching materials, detail the challenges and how we overcame them and, lastly, evaluate the outcomes and effectiveness of integrating computing exercises within the course. The main novelty of our approach is through the development and application of digital interactive python-based notebooks that are aligned with a general biochemistry curriculum. While this paper focuses on chemical education, it is important to note that this approach can be applied to other large enrollment undergraduate curricula, such as for biology, genetics, and physics.