The program offers an immersive experience in data science research methodologies and teamwork, culminating in a real-world data science capstone project.
The University of Chicago Data Science Institute's Data Science Summer Academy (DSSA) introduces high school students to the complete data science pipeline. Participants engage in a series of lectures, labs, and activities to understand how to formulate questions, collect and store data, perform computations, visualize data, make inferences and predictions, and effectively communicate results. The program emphasizes hands-on experience using Python and Jupyter Notebooks for data analysis, including an introduction to libraries like NumPy, pandas, SciPy, and Matplotlib. Students will also gain exposure to AI, machine learning concepts, and prediction/classification algorithms, particularly linear regression. The academy culminates in a capstone project where teams apply their learned skills to real-world data, providing a tangible project for college applications. Guest speakers and excursions to relevant industries offer insights into data science as a career.
A typical day includes morning lectures from 9:30 AM to 12:15 PM with a mid-morning break, followed by lunch, and then a lab session from 1:15 PM to 2:30 PM. The campus is then available for optional group or individual work until 4:00 PM.
The ideal student is a current high school student at least 15 years old with a strong background in math (minimum Algebra I), statistics, and coding, and an interest in data analytics.
University of Chicago (likely Hyde Park Campus, though not explicitly stated in snippet)
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