• Implementation Options [link] Bootstrap:Data Science was designed to be flexible, allowing for implementations in Middle and High School ranging from 1-week exposures to full-year courses! Find recommendations for the course structure that’s right for you.

  • Online Community (Discourse) [link] - Talk with other Bootstrap teachers, ask questions, and share out ideas!

  • Collection of Bootstrap:Data Science Desmos Activities [link] - All of our Desmos Data Science lessons, in one place.

  • Contracts [link] - A PDF of the contracts pages from the back of the student workbook.

  • Glossary [link] - All of the vocabulary words (and their definitions) used in this pathway.

  • Bilingual Glossary of Bootstrap Terms (English-Spanish) [PDF] - For teachers with ELL/ESL students, we provide a bilingual glossary for all of the terms used across our curriculum library.


Working in pairs, students complete different projects as they explore their own datasets. These datasets can be collected by students themselves, or chosen from our library.

Single-Lesson Projects

  • Making an Infographic [rubric] Students develop a ratio statement from a dataset of their choice, and then illustrate it via a compelling infographic.

  • Food Habits [rubric] Students analyze their snacking habits in comparison with data on childhood obesity in the U.S.

  • Time Use [rubric] Students investigate the amount of time they spend interacting with technology and doing homework as compared with other Americans.

  • Design a Survey [rubric] Students come up with a research question and design a survey to gather data to answer it. They exchange surveys to get some hands-on practice with clean and dirty data and incorporate what they learn to polish their surveys.

  • Design Recipe Telephone [rubric]

  • Olympic Records [rubric] Students use scatter plots and linear regression to analyze data about olympic records in running, swimming, or speed skating.

  • Threats to Validity [rubric] Students pretend to be terrible data scientists who develop and support claims based on faulty sampling techniques (selection bias, bias in the study design, poor choice of summary data, and confounding variables).

Multi-Lesson, Capstone Projects

  • Exploration Paper - Students begin by exploring their dataset, generating charts and coming up with possible research questions. The end product is the Dataset Exploration. You can find the description of this project (and the grading rubric!) at the Exploration Paper page.

  • Research Paper - Once students have come up with a research question, they can continue on to the complete Research Paper. You can find the description of this project (and the grading rubric!) at the Research Paper page.

  • Datasets to Choose From - Students can import their own data into a Blank Starter File following instruction in this tutorial video or choose from one of the many provided datasets below:

Looking for a shorter list? We’ve starred a few good beginner datasets.

The Environment & Health

Global Waste by Country 2019

Dataset Starter File

World Cities' Proximity to the Ocean

Dataset Starter File


Dataset Starter File

Air Quality, Pollution Sources & Health in the U.S.

Dataset Starter File

Health by U.S. County

Dataset Starter File

COVID in the U.S. by County

Dataset Starter File

Arctic Sea Ice

Dataset Starter File


Countries of the World

Dataset Starter File

Gerry Mandering

Dataset Starter File

Marijuana Laws & Arrests by State 2018

Dataset Starter File

LAPD Arrests 2010-2019

Dataset Starter File

NYPD Stop, Search & Frisk 2019

Dataset Starter File

Refugees 2018

Dataset Starter File

State Demographics

Dataset Starter File

U.S. Income

Dataset Starter File

U.S. Jobs

Dataset Starter File

U.S. Voter Turnout 2016

Dataset Starter File


Esports Earnings

Dataset Starter File

MLB Hitting Stats

Dataset Starter File

NBA Players

Dataset Starter File

NFL Passing

Dataset Starter File

NFL Rushing

Dataset Starter File



Dataset Starter File

IGN video game Reviews

Dataset Starter File

International Exhibition of Modern Art

Dataset Starter File

North American Pipe Organs

Dataset Starter File


Dataset Starter File


Dataset Starter File


College Majors

Dataset Starter File

U.S. Colleges 2019-2020

Dataset Starter File

★R.I. Schools

Dataset Starter File

Evolution of College Admissions in California

Dataset Starter File


Soda, Coffee & Other Drinks

Dataset Starter File

Fast Food Nutrition

Dataset Starter File

We have compiled some Notes on our provided datasets, to help you decide which might be most useful in your classroom.

Exercises and Solutions

Most exercises are part of the Student Workbook, and we provide password-protected Workbook Solutions as well.

You can find the 'exercise' and 'solution' versions of all supplemental materials as well, in the lists below.

Resources that Pair Well with Bootstrap:Data Science

  • What’s Going on in this Graph? - weekly intriguing data visualizations by the New York Times

  • The Pudding - fascinating, data-rich visual essays explaining ideas debated in culture

  • How Not To - friendly potshots at terrible Data Science, regularly posted to social media under the hashtag "HowNotTo"

  • Same Stats, Different Graphs - an illustration from Autodesk of why we must see the shape of data and not just focus on the descriptive statistics

  • Guess the Correlation - a game-ified resource (built by Omar Wagih) for building intuition for correlation, based on randomly-generated scatterplots

  • Sensitive r - an applet from Geogebra that shows how changing a single point can change the correlation coefficient r

Other Facilitation Resources

  • Implementation Options [link] - This guide includes suggestions for teachers looking spend a week, a month, or a semester teaching Bootstrap:Data Science.

  • Homework Submission Template [google form] - Efficiently collect hyperlinks to student work.

  • Broadening Participation [slides] - This compilation of best-practices from the CS-Education literature offers guidance on broadening student participation.

Standalone Hour of Code Activities from Bootstrap

  • Hour of Data [link] - A self-guided Desmos activity for exploring a real dataset, and using it to make sense of a real-world problem.

These materials were developed partly through support of the National Science Foundation, (awards 1042210, 1535276, 1648684, and 1738598). CCbadge Bootstrap by the Bootstrap Community is licensed under a Creative Commons 4.0 Unported License. This license does not grant permission to run training or professional development. Offering training or professional development with materials substantially derived from Bootstrap must be approved in writing by a Bootstrap Director. Permissions beyond the scope of this license, such as to run training, may be available by contacting