Students gain practical experience by analyzing real-world astronomical data and applying the scientific method through hands-on projects with UT faculty.
The UT Austin Computer Science Academy for Data Science Research offers high school students an immersive, hands-on experience in data analysis and machine learning. Participants will learn how data scientists extract meaningful insights from real-world astronomical data. The curriculum covers essential tools such as Python data science libraries (Jupyter Notebook, NumPy, Matplotlib, Pandas) and machine learning models using Scikit-Learn. Students will engage in hands-on projects, applying the scientific method to analyze data and make data-driven discoveries. The academy aims to provide a strong foundation in data science and an understanding of its practical applications.
A typical day involves attending lectures, working on hands-on projects, and taking a break for lunch.
This academy is ideal for high school students entering 10th-12th grade who have at least one semester of Python programming experience and are interested in exploring data science and machine learning.
UT Austin Campus
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