Course Goal
Students learn to use spreadsheets, Python, and visualizations to explain patterns in real data. Lessons combine concept explanation, guided practice, project work, and structured reflection.
Course
Data Science Course
This course is designed for middle and high school students. It connects data science classes for teens search intent to real projects students can explain, test, and present.
Project Work
Typical projects include weather analysis, sports dashboards, survey insight reports. Students explain design choices and test results for every project.
Best Fit
Students may enter through a trial class, weekend course, camp, one-on-one mentoring, portfolio pathway, or competition studio.
Related
Continue exploring the B1P STEM pathway.
CurriculumA STEM pathway from discovery to research.Explore B1P K-12 STEM curriculum across AI literacy, Python coding, robotics, maker engineering, science research, data science, and math modeling.
PathwayElementary: from curiosity to the first project.B1P elementary STEM pathway helps young students build curiosity through robotics, visual coding, sensors, maker projects, and science experiments.
PathwayMiddle school: turn interest into real projects.B1P middle school STEM pathway develops Python, robotics, AI applications, data projects, teamwork, and engineering iteration.
PathwayHigh school: move from projects to research and direction.B1P high school pathway supports AI, robotics, science research, math modeling, innovation, entrepreneurship, competitions, and student portfolios.
AdmissionsStart with an assessment, then choose the right pathway.Book a B1P Academy trial class or learning assessment for K-12 STEM pathways in AI, robotics, coding, engineering, and science research.