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Let’s Get Started

  • 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] - Talk with other Bootstrap teachers, ask questions, and share ideas!

  • Remote Instruction [link] - specific recommendations for in-person v. remote instruction.

Exercises and Solutions

 

Notes, Slides, and Starter Files

Projects

Projects allow exploration of data collected by students themselves or chosen from our library. The Bootstrap:Data Science in CODAP curriculum includes three mini projects, each designed to span 2-5 class periods. We also offer two multi-lesson, capstone projects.

Mini Projects

  • Design a Survey - Students practice collecting clean data.

  • Make an Infographic - Students create their own infographics, thinking critically and creatively about ratio relationships.

  • When Data Science Goes Bad - Students pretend to be "bad data scientists", gaining awareness of how data can be misconstrued.

Multi-Lesson, Capstone Projects

All Lesson Notes

The student workbook includes notes for various lessons. You can access all of these notes by clicking the links below:

Dataset Library

Students can import their own data into CODAP or choose from one of the many provided datasets below:

The Environment & Health

Global Waste by Country 2019

Dataset Starter File

World Cities' Proximity to the Ocean

Dataset Starter File

Earthquakes

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

Politics

Countries of the World

Dataset Starter File

Gerrymandering

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

Sports

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

Entertainment

★Movies

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

Pokemon

Dataset Starter File

Music

Dataset Starter File

Education

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

Nutrition

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.

Other Curricular Materials

  • 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.

  • Blank Data Cycle Worksheet - [html] - When students need scaffolding for answering a question with data.

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

  • Sentence Starters [html] - Use these sentence starters to help students describe patterns, make predictions, find comparisons, share discoveries, formulate hypotheses, and ask questions.

Resources that Pair Well with Bootstrap:Data Science

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

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

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

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

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

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

These materials were developed partly through support of the National Science Foundation, (awards 1042210, 1535276, 1648684, 1738598, 2031479, and 1501927). 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 contact@BootstrapWorld.org.