The program offers a project-based curriculum with expert instructors and a small student-to-instructor ratio of 8:1, ensuring personalized attention and practical skill development.
This live online course provides high school students with a comprehensive introduction to Python for data science and machine learning. Students will begin by mastering Python fundamentals, including variables, data types, functions, loops, and control flow. The curriculum then progresses to more advanced topics such as working with complex data structures like lists, dictionaries, and sets for efficient data organization and manipulation. Students will gain practical experience in data analysis by learning to read and write text and CSV files, and clean and prepare data using the powerful Pandas library. The course also covers data visualization, enabling students to create custom charts, scatter plots, and histograms with Matplotlib. A significant portion of the program is dedicated to exploring core machine learning techniques, including linear regression and K-nearest neighbors. The camp culminates in a final project where students apply their acquired skills to real datasets, presenting their insights through analysis and visuals. The program also introduces how AI tools can support Python workflows for code generation, concept explanation, and problem-solving.
A typical day involves a combination of "micro-lectures" where the instructor teaches a short lesson, immediately followed by guided practice through hands-on projects to apply what was just learned.
This program is ideal for high school students with a strong interest in coding who are comfortable with computer basics and want to learn Python for data science and machine learning.
Virtual Camp
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