Teaching Data 

> Bring data science into your classroom (today).

While K-12 data education is a relatively nascent field, there are already a variety of resources for teachers who want to implement data science in the classroom today. Resources from year-long courses to short activities are listed below. 

Don't see what you're looking for quite yet? Our coalition partners are actively working to create more content, including lesson plans, interactive textbooks, and tools for finding ready-to-use datasets. Check back often. And follow us on social media for the latest updates. 

Looking for content in other subjects (like the sciences)? View this EDC resource hub (Oceans of Data)

(Have a resource to add?) 

 
 
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Introduction to Data Science (IDS) Curriculum teaches students to reason with, and think critically about, data in all forms. The Common Core State Standards (CCSS) for High School Statistics and Probability relevant to data science are taught along with the data demands of good citizenship in the 21st century. Additionally, IDS provides access to rigorous learning that fuses mathematics with computer science through the use of R/RStudio, an open-source programming language/environment that has long been the standard for academic statisticians and analysts in industry. IDS is a “c”-approved mathematics course in the University of California A-G requirements.

Introduction to Data Science (IDS)

Introduction to Data Science (IDS) Curriculum teaches students to reason with, and think critically about, data in all forms. The Common Core State Standards (CCSS) for High School Statistics and Probability relevant to data science are taught along with the data demands of good citizenship in the 21st century. Additionally, IDS provides access to rigorous learning that fuses mathematics with computer science through the use of R/RStudio, an open-source programming language/environment that has long been the standard for academic statisticians and analysts in industry. IDS is a “c”-approved mathematics course in the University of California A-G requirements.

Full Course, Professional Development

Grade Level:

9-12

Our team is writing a new course, in collaboration with Google, called Youcubed Adaptable Curriculum: Explorations in Data Science (or YACEDS).  It will introduce students to the main ideas in data science through free tools such as Google Sheets, Python, Data Commons and Tableau. The curriculum will be adaptable so that teachers can bring in datasets or use what is provided to find datasets most relevant to their students. We will apply for A-G approval of the course, so it could be taken as an alternative to algebra 2, or in addition to algebra 2. It could lead to a pathway in calculus, statistics, data science, other STEM or humanities subjects.

Coming Soon: High School Data Science Course (youcubed)

Our team is writing a new course, in collaboration with Google, called Youcubed Adaptable Curriculum: Explorations in Data Science (or YACEDS). It will introduce students to the main ideas in data science through free tools such as Google Sheets, Python, Data Commons and Tableau. The curriculum will be adaptable so that teachers can bring in datasets or use what is provided to find datasets most relevant to their students. We will apply for A-G approval of the course, so it could be taken as an alternative to algebra 2, or in addition to algebra 2. It could lead to a pathway in calculus, statistics, data science, other STEM or humanities subjects.

Full Course

Grade Level:

9-12

CourseKata is an interactive online textbook that provides a rigorous introduction to modern data science and statistics. Concepts are taught in the context of data analysis, which students learn to do using R. Students go back and forth between doing and understanding, learning the practice of data analysis while, at the same time, learning to think using statistical ideas. Every bit is taught in relation to the whole, resulting in a more coherent understanding of the domain. Can be a replacement for Algebra II, or an option preparing students for advanced data science courses and careers. We invite you to preview the materials. If you teach introductory statistics and want to join our project, find out how to use the book with your students. Preview the course below.

CourseKata Introduction to Statistics

CourseKata is an interactive online textbook that provides a rigorous introduction to modern data science and statistics. Concepts are taught in the context of data analysis, which students learn to do using R. Students go back and forth between doing and understanding, learning the practice of data analysis while, at the same time, learning to think using statistical ideas. Every bit is taught in relation to the whole, resulting in a more coherent understanding of the domain. Can be a replacement for Algebra II, or an option preparing students for advanced data science courses and careers. We invite you to preview the materials. If you teach introductory statistics and want to join our project, find out how to use the book with your students. Preview the course below.

Textbook, Full Course

Grade Level:

9-12

CODAP (Common Online Data Analysis Program) is free educational software for data analysis created by the Concord Consortium. This web-based data science tool is designed as a platform for developers and as an application for students in grades 6-14.

CODAP Software

CODAP (Common Online Data Analysis Program) is free educational software for data analysis created by the Concord Consortium. This web-based data science tool is designed as a platform for developers and as an application for students in grades 6-14.

Software

Grade Level:

All, K-5, 6-8, 9-12

Our new online course is designed to help anyone teach – and learn – with a 21st century approach to knowledge and teaching. Lesson 1 of the course shares important evidence we now have about the working of the brain, that is meaningful for all subjects and ages – and lives. We then move to thinking together about the data filled world in which we live, to prepare students for their future in a world of data. The course is completely online and self-paced, so you can take it on your own time.  It is being released in two versions, with the same content:  one version is free, and one version provides 2 Continuing Education Units, verified by a certificate, at a special introductory price.  We recommend the certificate for those who would like credit from their school district or school for the time it takes to complete the course and learn the new ideas.

21st Century Teaching and Learning (youcubed)

Our new online course is designed to help anyone teach – and learn – with a 21st century approach to knowledge and teaching. Lesson 1 of the course shares important evidence we now have about the working of the brain, that is meaningful for all subjects and ages – and lives. We then move to thinking together about the data filled world in which we live, to prepare students for their future in a world of data. The course is completely online and self-paced, so you can take it on your own time. It is being released in two versions, with the same content: one version is free, and one version provides 2 Continuing Education Units, verified by a certificate, at a special introductory price. We recommend the certificate for those who would like credit from their school district or school for the time it takes to complete the course and learn the new ideas.

Professional Development

Grade Level:

All

This page shares five units of youcubed lessons for grades 6-10 that introduce students (and teachers) to data science. The units start with an introduction to the concept of data and move to lessons that invite students to explore their own data sets. The lessons accompany a new online course for teachers, where some of the lessons are featured, along with other lesson ideas. These lessons are offered with ideas for in-person or online teaching, and can be taught at any time of year.

Data Science Lessons (youcubed)

This page shares five units of youcubed lessons for grades 6-10 that introduce students (and teachers) to data science. The units start with an introduction to the concept of data and move to lessons that invite students to explore their own data sets. The lessons accompany a new online course for teachers, where some of the lessons are featured, along with other lesson ideas. These lessons are offered with ideas for in-person or online teaching, and can be taught at any time of year.

Modules, Lesson Plans

Grade Level:

All, 6-8, 9-12

Data talks are short 5-10 minute classroom discussions to help students develop data literacy. This pedagogical strategy is similar in structure to a number talk, but instead of numbers students are shown a data visual and asked what interests them. On this page, you can download a paper explaining what a data talk is, then try one or more of the data talks below with your students.

Data Talks (youcubed)

Data talks are short 5-10 minute classroom discussions to help students develop data literacy. This pedagogical strategy is similar in structure to a number talk, but instead of numbers students are shown a data visual and asked what interests them. On this page, you can download a paper explaining what a data talk is, then try one or more of the data talks below with your students.

Activities

Grade Level:

K-5

We provide all of the our materials free of charge, to anyone who is interested in using our lesson plans or student workbooks. We work hard to provide a "curriculum-in-a-box" experience, but a curriculum based on 20 years’ research has a lot of moving parts! Courses and modules include: Algebra, Data Science, Reactive (Trigonometry + Algorithms), and Physics.

Bootstrap Courses

We provide all of the our materials free of charge, to anyone who is interested in using our lesson plans or student workbooks. We work hard to provide a "curriculum-in-a-box" experience, but a curriculum based on 20 years’ research has a lot of moving parts! Courses and modules include: Algebra, Data Science, Reactive (Trigonometry + Algorithms), and Physics.

Full Course, Lesson Plans, Modules, Workbooks

Grade Level:

All, K-5, 6-8, 9-12

In a Bootstrap workshop, you will: 1) Experience the entire Bootstrap curriculum 2) Explore the research 3) Learn about pedagogy, content and integration with other subjects You'll work with your peers to discuss content, pedagogy, and spend the day in your students' shoes. You'll have a chance to try activities from every single Bootstrap class. You'll be able to debrief with other teachers, talk pedagogy with the trainers, and try out the materials and software firsthand. And finally, you'll go home with a complete final project that you created.

Bootstrap Workshops

In a Bootstrap workshop, you will: 1) Experience the entire Bootstrap curriculum 2) Explore the research 3) Learn about pedagogy, content and integration with other subjects You'll work with your peers to discuss content, pedagogy, and spend the day in your students' shoes. You'll have a chance to try activities from every single Bootstrap class. You'll be able to debrief with other teachers, talk pedagogy with the trainers, and try out the materials and software firsthand. And finally, you'll go home with a complete final project that you created.

Professional Development

Grade Level:

All, K-5, 6-8, 9-12

While we build CBM materials for you to try, here are a number of related activities that aren't CBM but will give a flavour of the technology and activities available in CBM lessons. As an individual educator, you have many constraints on changes you can bring in: assessments, curricula and indeed expectations of parents and other teachers who may not understand the CBM vision yet. We are working to make the case top-down for these changes around the world, but we can still help you in two ways today: 1) by helping you to get the vision, so that you can make evolutionary or more radical changes in your lessons; 2) by giving you as many supplementary activities as we can, as we develop them. Submit ideas for new modules, encourage others to join up and tell us how it's going.

CBM Resources Page

While we build CBM materials for you to try, here are a number of related activities that aren't CBM but will give a flavour of the technology and activities available in CBM lessons. As an individual educator, you have many constraints on changes you can bring in: assessments, curricula and indeed expectations of parents and other teachers who may not understand the CBM vision yet. We are working to make the case top-down for these changes around the world, but we can still help you in two ways today: 1) by helping you to get the vision, so that you can make evolutionary or more radical changes in your lessons; 2) by giving you as many supplementary activities as we can, as we develop them. Submit ideas for new modules, encourage others to join up and tell us how it's going.

Activities, Lesson Plans

Grade Level:

All

Have you ever wondered what you can learn from data that has been taken from a satellite in space? This lesson plan guides teachers on how to lead a data exploration with satellite data and the educational software CODAP. Includes an example video guide.

Satellite Data Analysis with CODAP

Have you ever wondered what you can learn from data that has been taken from a satellite in space? This lesson plan guides teachers on how to lead a data exploration with satellite data and the educational software CODAP. Includes an example video guide.

Datasets, Activities, Lesson Plans

Grade Level:

6-8, 9-12

We’re working with a game developer from Eeps Media and a learning science researcher from the University of California at Berkeley to create a suite of games for high school science classes, so students can experience the excitement of data science. All data science game scenarios follow a similar design: students take context-specific actions in the game. They store their data, organize it, analyze it, and visualize it in the surrounding CODAP environment.

Data Science Games (Concord Consortium)

We’re working with a game developer from Eeps Media and a learning science researcher from the University of California at Berkeley to create a suite of games for high school science classes, so students can experience the excitement of data science. All data science game scenarios follow a similar design: students take context-specific actions in the game. They store their data, organize it, analyze it, and visualize it in the surrounding CODAP environment.

Activities, Lesson Plans

Grade Level:

All, K-5, 6-8, 9-12

Instead of lectures and cookbook experiments with known outcomes, science education should be more authentic and more like contemporary science. A new generation of inexpensive technology can bring this goal closer to reality in K-12 education. These technologies are exemplified by the intelligent objects that constitute the “Internet of Things” (IoT). The InSPECT project forges new directions in science learning by integrating novel technologies and computational thinking practices into curricular activities that allow high school students to undertake authentic and independent science investigations in biology. Using inexpensive smart interfaces to create systems with sensors and actuators, InSPECT aims to make scientific inquiry more engaging and accessible.

InSPECT (Concord Consortium)

Instead of lectures and cookbook experiments with known outcomes, science education should be more authentic and more like contemporary science. A new generation of inexpensive technology can bring this goal closer to reality in K-12 education. These technologies are exemplified by the intelligent objects that constitute the “Internet of Things” (IoT). The InSPECT project forges new directions in science learning by integrating novel technologies and computational thinking practices into curricular activities that allow high school students to undertake authentic and independent science investigations in biology. Using inexpensive smart interfaces to create systems with sensors and actuators, InSPECT aims to make scientific inquiry more engaging and accessible.

Activities, Lesson Plans

Grade Level:

All, K-5, 6-8, 9-12

Wolfram|Alpha is a unique engine for computing answers and providing knowledge. It works by using its vast store of expert-level knowledge and algorithms to automatically answer questions, do analysis and generate reports. Use of the base software is free.

Wolfram Alpha

Wolfram|Alpha is a unique engine for computing answers and providing knowledge. It works by using its vast store of expert-level knowledge and algorithms to automatically answer questions, do analysis and generate reports. Use of the base software is free.

Software

Grade Level:

All, 6-8, 9-12

The New York Times collaborated with the American Statistical Association (A.S.A.) to produce “What’s Going On in This Graph?” This weekly feature invites students to analyze and interpret graphs previously published in The New York Times, first by noticing and wondering, and then by creating a catchy headline and considering what impact this data might have on them and their communities.

(NYTimes) What's Going On in This Graph?

The New York Times collaborated with the American Statistical Association (A.S.A.) to produce “What’s Going On in This Graph?” This weekly feature invites students to analyze and interpret graphs previously published in The New York Times, first by noticing and wondering, and then by creating a catchy headline and considering what impact this data might have on them and their communities.

Activities

Grade Level:

All

The Open Case Studies project is an educational resource that educators can use in the classroom to teach students how to effectively derive knowledge from data in real-world challenges. Despite unprecedented and growing interest in data science on campuses, there are few courses and course materials that provide meaningful opportunity for students to learn about real-world challenges. To address this, we are developing the Open Case Studies educational resource of case studies, which demonstrate illustrative data analyses that can be used in the classroom to teach students how to effectively derive knowledge from data.

Open Case Studies (Johns Hopkins)

The Open Case Studies project is an educational resource that educators can use in the classroom to teach students how to effectively derive knowledge from data in real-world challenges. Despite unprecedented and growing interest in data science on campuses, there are few courses and course materials that provide meaningful opportunity for students to learn about real-world challenges. To address this, we are developing the Open Case Studies educational resource of case studies, which demonstrate illustrative data analyses that can be used in the classroom to teach students how to effectively derive knowledge from data.

Activities, Modules

Grade Level:

All, 9-12

The Modeling Hub is funded by the Consortium for Mathematics and its Applications (COMAP), National Council of Teachers of Mathematics (NCTM), and Society for Industrial and Applied Mathematics (SIAM). View sample mathematical modeling problems including lesson plans and setup, learning goals, and student templates. The Modeling Hub was developed by the Harvey Mudd College IMMERSION Development Group led by Rachel Levy. The IMMERSION project is a NSF-funded effort to bring mathematical modeling to K-12 classrooms. It is a collaboration between three colleges and unified school districts: George Mason University and Fairfax County Public Schools, Harvey Mudd College and Pomona Unified School District, and Montana State University and Bozeman School District.

Math Modelling Hub

The Modeling Hub is funded by the Consortium for Mathematics and its Applications (COMAP), National Council of Teachers of Mathematics (NCTM), and Society for Industrial and Applied Mathematics (SIAM). View sample mathematical modeling problems including lesson plans and setup, learning goals, and student templates. The Modeling Hub was developed by the Harvey Mudd College IMMERSION Development Group led by Rachel Levy. The IMMERSION project is a NSF-funded effort to bring mathematical modeling to K-12 classrooms. It is a collaboration between three colleges and unified school districts: George Mason University and Fairfax County Public Schools, Harvey Mudd College and Pomona Unified School District, and Montana State University and Bozeman School District.

Activities, Lesson Plans

Grade Level:

All, K-5, 6-8, 9-12

AI impacts all of our lives, no matter our job or education. Our multidisciplinary curriculum addresses the skills and knowledge necessary to thrive in and positively contribute to a society where AI and automation are increasingly a part of every industry. Teachers can implement a range of options between 2 and 8-week lesson sequences to expose students to AI basics and potential career pathways.

AIEducation Curriculum

AI impacts all of our lives, no matter our job or education. Our multidisciplinary curriculum addresses the skills and knowledge necessary to thrive in and positively contribute to a society where AI and automation are increasingly a part of every industry. Teachers can implement a range of options between 2 and 8-week lesson sequences to expose students to AI basics and potential career pathways.

Full Course, Lesson Plans

Grade Level:

9-12

Tuva's K-12 Instructional Program for Teachers, Schools & Districts
Growing library of curated, authentic, real-world datasets from primary data sources. Inquiry-based lessons & activities aligned to your state math and science standards.

TUVA Lesson & Modules

Tuva's K-12 Instructional Program for Teachers, Schools & Districts
Growing library of curated, authentic, real-world datasets from primary data sources. Inquiry-based lessons & activities aligned to your state math and science standards.

Activities, Modules, Lesson Plans

Grade Level:

6-8, 9-12

The Data Lab runs probably the most popular data science course at Stanford. The course requires no prerequisites and uses little to no mathematics. It's built on the principle that the best data science skills are built with problem solving and intuition rather than complex statistics. The driving force behind the Lab is Bill Behrman, who is extremely committed to the process of teaching data science in an understandable way and is also looking to start a Data Impact Lab to bring these skills to younger students in public schools.

Stanford Data Lab

The Data Lab runs probably the most popular data science course at Stanford. The course requires no prerequisites and uses little to no mathematics. It's built on the principle that the best data science skills are built with problem solving and intuition rather than complex statistics. The driving force behind the Lab is Bill Behrman, who is extremely committed to the process of teaching data science in an understandable way and is also looking to start a Data Impact Lab to bring these skills to younger students in public schools.

Example College Course

Grade Level:

College

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