In the Exploring Exoplanets with Python, attendees assume the role of a Junior Researcher studying exobiology. They have the opportunity to interact with data sets focused on three key aspects of planetary habitability: temperature, crustal composition, and atmospheric pressure. Learners will explore these sets via Amazon SageMaker Studio notebooks to run and edit sample code written in Python. Hands-on simulations and lab experiences help students connect their learning with real-world applications to show how programming, statistics, and data presentation can help automate tasks in data science, while allowing unique insights into large data sets.