Camp Overview
This summer camp introduces students to the power of data science through hands-on, real-world problem solving. Students will begin by learning how to derive data-driven insights using data analysis and visualization, building a strong foundation in interpreting and communicating data. They will then explore how machines make predictions, gaining an introduction to modeling concepts. As the camp progresses, students are exposed to advanced topics such as computer vision and large language models (LLMs), connecting their learning to cutting-edge AI technologies.
 
Project-Based Learning Experience
The core of the camp is a project-based experience where students take on the role of a data analytics team, working with simulated datasets to answer real business questions—such as optimizing product pricing, evaluating marketing channels, analyzing sales trends, or determining staffing needs. By the end of the program, students will complete an end-to-end project where they analyze a problem, apply data science techniques, and present a data-driven recommendation, developing both technical skills and practical decision-making abilities.
 
Daily Schedule (9:30 AM – 4:30 PM)
9:30 – 10:00 | Warm-Up & Community Time
Kick off the day with light activities such as icebreakers, short challenges, or reflection questions to get students thinking and engaged.
10:00 – 12:00 | Data Science Learning (with short breaks)
Interactive lessons covering data analysis, visualization, and modeling concepts. Includes mini activities and short breaks to keep students energized.
12:00 – 1:00 | Lunch & Recess (Light lunch included)
Time to relax, eat, and recharge. Students can socialize or participate in optional light activities.
1:00 – 4:00 | Business Project Work
Students work in teams on their end-to-end data science projects. They explore real-world business questions, analyze data, and build data-driven recommendations with guidance and check-ins.
4:00 – 4:30 | Wrap-Up & Dismissal Prep
Students reflect on their progress, share updates, and organize their work before heading home.
 
Instructors
Dr. Zhou
Dr. Zhou is a Technology Teacher at Eastside Preparatory School and a former Principal Data Science Manager at Microsoft. She specializes in project-based learning that connects data science and AI to real-world impact, helping students build both technical skills and confidence.
 
Prof. Huang
Prof. Huang is an experienced data science and analytics leader with over a decade of industry experience. He has taught Predictive Analytics and Quantitative Analysis for Business at UW and holds a Ph.D. in Financial Economics and Econometrics. He focuses on helping students apply data science concepts to solve meaningful, real-world problems.