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Teaching Data Science in High School In-Classroom or Remote?

Free Data Science Lessons for Grades 9-12

Empower Students with the Fundamentals of Data Science

The labor market is hungry for skilled data wranglers and pays them well, but few schools offer high school data science classes as part of their STEM education. EVERFI's data science curriculum for high schoolers is designed to empower students with knowledge about the fundamentals of data science, its currency in the job market, and its applicability to everyday life.

Course Snapshot

  • Target Students

    Grades 9-12

  • Curriculum

    Economics, Mathematics, Statistics, College & Career Prep

  • Time

    4 Lessons / 30-Minute Lessons, 2 Hours Total

Data Science Lesson - Collecting Data

Lesson Plan

Data Science Basics

Students explore real-world problems a data scientist might need to solve, and the methods they use.

Collecting, Cleaning and Validating Data

Students learn how data scientists ensure that their data is accurate and reliable.

Data Science Lesson - Collecting Data

Analyzing and Visualizing Data

Students use various displays and analytics tools to understand data sets.

Data Science Lesson - Reporting

Reporting and Acting on Data

Students learn how data scientists summarize data for different audiences in order to inform business decisions.

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Frequently Asked Questions

EVERFI has built a network of partners and sponsors who help fund Vault for your school or district. Through multi-year commitments, EVERFI partners give teachers and administrators the assurance that programming can be launched at scale and even written into curriculum.

Data Science Foundations' lessons are aligned to national and state standards. EVERFI provides comprehensive curriculum guides and standards alignment guides to help you plan for implementation with your high school students.

 

EVERFI helps teachers, schools, and districts bring real-world skills to students. Thanks to partners, we provide our digital platform, training, and support at no cost.

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