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AI & Machine Learning · 🏫 UCLA Department of Statistics and Data Science

ThinkData Ed's Virtual Data Science Summer Camps

The camps provide live, instructor-led virtual learning using real-world data and industry-standard tools, with no prior coding experience required.

🔥 Middle/High School 🕒 1-week Virtual Camp Online Beginner-friendly

About this camp

ThinkData Ed's Virtual Data Science Summer Camps offer week-long, live instructor-led programs designed for middle and high school students to build foundational skills in data analysis, statistical reasoning, and coding. Students engage with real-world data and industry-standard tools like R using Posit Cloud. The camps are structured as standalone experiences, allowing students to focus on specific areas of interest or enroll in multiple weeks for a broader understanding. Activities include collecting, organizing, and visualizing data, analyzing distributions, comparing groups using statistical measures, and exploring probability and simulation for decision-making. The curriculum also introduces ethical considerations around data privacy and responsible data use. By the end of each camp, students gain hands-on experience in working with data, creating visualizations, and effectively communicating their findings, preparing them for future studies and careers in data-driven fields.

What a typical day looks like

A typical day involves live, instructor-led learning sessions via Zoom, where students work through guided exercises and projects using real-world data and industry-standard tools like R in Posit Cloud.

Best suited for

This camp is best for students who enjoy problem-solving, analyzing patterns, or exploring how data applies to various fields such as sports, social trends, public health, and technology.

What you'll learn

Data collection organization and visualization Foundational coding skills in R using Posit Cloud Ethical considerations in data privacy and use Statistical reasoning distributions and group comparisons Measures of center and spread (mean median IQR) Probability simulation and decision-making under uncertainty Conditional probability and categorical analysis

Location

Virtual

Sponsored · Research Ignited

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