This camp offers a unique academy-style model with top-tier instructors and proprietary curricula, enabling students to build a portfolio of functional AI projects through hands-on learning.
Students in the Data Science Basics & Machine Learning Fundamentals camp will gain practical skills in organizing, visualizing, and manipulating data using Python libraries. Through hands-on projects, they will implement machine learning algorithms to build simple predictive models and classify data. The program culminates in a final AI project, allowing students to apply their acquired knowledge and develop a portfolio showcasing functional AI projects. This experience provides a comprehensive understanding of the systems that drive autonomous technology, preparing students for future studies in computer science and data engineering. The camp emphasizes experiential learning and serious skill building within an academy-style model, supported by proprietary curricula and top-tier instructors.
A typical day involves structured learning sessions from 9:00 a.m. to 3:00 p.m., including a catered lunch, outdoor recess, and special group activities for 15-20 minutes at the halfway point.
This camp is ideal for students with some prior Python or AI coding experience who are looking to build a portfolio of functional AI projects and prepare for future studies in computer science and data engineering.
The Hockaday School – 11600 Welch Rd, Dallas, TX 75229
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