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📧 info@nexosci.com
📞 +425-866-0213
Contact Us
📧 info@nexosci.com
📞 +425-866-0213
Problem to Decision — students complete a real project using data & AI.
From Questions to Decisions
Problem → Data → Model → Decision
Each level builds new capabilities — from foundational thinking to independent research and competition-level work.
Typical pacing: ~8–10 weeks per level · Starting April 2026
Complete a real data project from start to finish
Learn how to make decisions based on data
Use AI tools to generate and apply analysis
Students complete full projects from start to finish — not isolated exercises. Every level builds toward a real, tangible outcome.
Students learn to use AI tools to assist with analysis and develop the understanding to interpret and apply results — not just produce them.
The focus is on making decisions based on data — students learn to ask the right questions, evaluate evidence, and draw meaningful conclusions.
The goal is to develop a way of thinking that connects math, data, and real-world problem solving — a skillset that applies well beyond any single subject.
Each level is a ~8–10 week program. Students progress at their own pace, building real capabilities at every stage.
Learning to Ask the Right Questions
Outcome:
Understand the basic structure of solving a real-world problem using data.
Prerequisite:
Completion of Algebra I (or equivalent). No prior project experience required.
Learning by Doing
Outcome:
Hands-on experience solving a real data problem from start to finish.
Prerequisite:
Completion of Level 1 or prior experience with basic data or math projects (e.g., simple data analysis, science fair, or similar activities).
From Real Problems to Statistical Questions
Outcome:
Frame complex questions in ways that can be analyzed with data.
Prerequisite:
Completion of Algebra II (or equivalent) and Level 2, or prior experience completing a full data or research project.
Turning Analysis into Action
Outcome:
Communicate insights like analysts, consultants, and researchers.
Prerequisite:
Completion of Level 2 or prior experience presenting or communicating analytical or project-based work.
Applying Skills at an Advanced Level
Outcome:
Advanced projects and real academic or competition-level experience.
Prerequisite:
Completion of Level 3 (or equivalent project experience) and concurrent enrollment in AP Statistics (or similar coursework).
An applied economist and data scientist dedicated to real-world problem-solving
Instructor, Data Thinking & Decision Lab
Dr. Huang focuses on helping students learn how to solve real-world problems using data, statistics, and AI. Drawing from his industry experience, he brings real business challenges into the classroom. Rather than emphasizing formulas or coding syntax, he teaches a clear, structured process—defining meaningful questions, analyzing data, and making evidence-based decisions. Through guided projects and AI-assisted tools, students learn by doing and develop the confidence to apply analytical thinking to real situations.
Across the program, students progressively develop a complete toolkit for data-driven thinking
Grades 7–10
Students who are ready to go beyond formulas and apply math to real-world problems.
Join Data Thinking & Decision Lab and learn how real decision-makers use data to solve problems — starting April 2026.
Questions? Contact us at info@nexosci.com