Location: 15015 Main St Suite 208, Bellevue, WA 98007
Exploring Exoplanets with Python
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.
In this unit, attendees will:
– Identify the key factors in determining potential habitability for a planet
– Explain a strategy for calculating the temperature of a planet
– Recognize the importance of algorithms to automate difficult or repetitive tasks
– Use basic mathematical and statistical concepts to complete introductory programming tasks in Python
– Describe key roles and responsibilities on professional data science teams
– Use Amazon SageMaker Studio notebooks to conduct exploratory data analysis and create data visualizations
– Practice using data visualization techniques to support a conclusion
– Access to a Windows or Mac laptop, or a Chromebook.
– Access to an internet connection.