This intensive two-week academy provides a collegiate environment where teens build an impressive, college-ready digital portfolio and gain industry insights from relatable Gen Z experts.
In the iD Tech Data Science Academy with Python & Machine Learning, teens aged 13-18 delve into advanced Python concepts, sharpening their coding skills through cryptography and developing logic-based programs to solve complex puzzles. Participants build and train machine learning models using Google's Teachable Machine, exploring how AI learns visually. They utilize custom datasets to create image classification models, such as a sign language translator or an emotion detector. The curriculum covers key machine learning concepts through hands-on projects and discussions on ethics, privacy, and responsible design. Students explore data science fundamentals by visualizing data, identifying patterns, and applying algorithms with tools like TensorFlow and Keras. The program culminates in a data-driven final project where teens experiment with techniques like text classification and data analysis to model predictions for real-world scenarios, such as building an all-star sports team on a limited budget. Graduates leave with a college-ready digital portfolio showcasing their projects.
A typical day includes morning announcements and icebreakers, followed by coursework in groups. Lunch is eaten in the campus dining hall, with more instruction and project work in the afternoon, interspersed with computer breaks for outdoor time or board games.
This program is best for teens aged 13-18 interested in a rigorous, pre-college experience in data science, AI, and machine learning, aiming to build an impressive portfolio for college applications and future careers.
University of Washington - Seattle
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