Students gain hands-on experience with the full data science pipeline and complete a capstone project using real-world data, providing a strong foundation for future academic and career pursuits in data science.
The University of Chicago's Pathways in Data Science program introduces high school students to the complete data science pipeline. Through a blend of lectures, labs, and discussions, participants learn to formulate questions, collect and store data, perform computations, visualize findings, and communicate results. The curriculum emphasizes practical skills using Python and Jupyter Notebooks, culminating in a capstone project where students apply their knowledge to real-world data. Guest speakers also provide insights into data science as a career. The program aims to develop flexible problem-solving and programming skills applicable to a variety of data-driven challenges.
A typical day includes lectures from 9:00 am to 12:15 pm with a mid-morning break, followed by lunch, and then dedicated time for group or individual work on projects until 4:00 pm.
This program is ideal for high school students who have completed pre-calculus and have an interest in coding and statistics, and who are eager to engage with real-world data challenges.
The University of Chicago campus, Hyde Park, Chicago, IL
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