June 1

We invite middle and high school teachers to professional development (PD) workshop on Data Science and AI. This workshop provides an introduction to key concepts in Data Science and AI, along with focused training on data visualization using Tableau.
Teachers will participate in a hands-on project, applying these skills to real-world datasets to uncover valuable insights.

June 18-20

Discover how to bring the power of data science into your classroom—no matter what subject you teach. This three-day, hands-on summer training will guide you through the data science cycle from a student’s perspective and equip you with practical tools, lessons, and strategies to apply immediately in your teaching.

Whether you're new to data science or just looking for fresh ideas, you’ll walk away with classroom-ready resources and continued support through quarterly virtual meetups to share updates, access new materials, and get your questions answered.

Spots are limited—sign up to reserve your seat and empower your students with skills for the future!

July 29

Stats&DataNet is a year-long professional learning effort sponsored by the ASA and coordinated by Kaycie Maddox, Rebecca Nichols, Hollylynne Lee, and Gemma Mojica, with support from HI-RiSE: A Hub for Innovation and Research in Statistics Education at the North Carolina State University William and Ida Friday Institute for Educational Innovation.

The program provides K–12 teachers with an opportunity to discuss and apply the data analysis, data science, and statistical concepts embodied in the National Council of Teachers of Mathematics Catalyzing Change books and American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (GAISE) Pre-K–12 Curriculum Framework.

The program includes examining what students can be expected to do at the most basic level of data analysis understanding and what can be expected of them as their skills develop and experience broadens. Teachers will learn to use strategies and technology tools that support students’ learning and empower them to investigate questions using real-world data.

June 25

The future is now. Begin to prepare your students for the world of artificial intelligence (AI) through this hands-on, engaging 90-minute workshop that will provide a practical introduction to AI, covering its mechanics, applications, and ethical implications.

*Participants will receive a lesson plan that encourages critical thinking and fosters a deeper understanding of data sharing and prompt engineering.
*This workshop is tailored for middle and high school teachers who want to support their students in navigating the evolving landscape of AI.

May 19-June 20

Are you ready to dive into the world of data science? Join us virtually this summer at Howard University for a FREE* entry-level bootcamp designed to kickstart your career in data science! Gain hands-on experience, learn essential skills, and connect with industry professionals. Apply here to secure your spot! A limited number of fee waivers are available for the application, please email datascience.howard@gmail.com if in need.

Asynchronous

​Tuva's Data Literacy Microcredentials Workshops are designed to empower educators with the skills and knowledge to integrate data literacy into their teaching practices. These workshops provide hands-on experience with Tuva's intuitive data and graphing tools, enabling teachers to engage students in authentic problem-solving and develop a deeper conceptual understanding of mathematics and science. Participants will learn how to explore, visualize, and analyze data, fostering critical data literacy skills essential for navigating today's information-rich world.

June 23-26

Join us at NCSSM-Morganton for a weeklong workshop for teachers interested in learning more about teaching data science at the high school and/or introductory college levels. No previous experience in data science or programming is required for participation! Conference is free for participants with meals provided most days!


This year’s Summer Institute is co-organized and sponsored through a partnership between NCSSM and the InSTEP project at NC State’s Friday Institute for Educational Innovation. InSTEPwithdata.org is an online platform for personalized professional learning in teaching statistics and data science in grades 6-12+.


This year's workshop is also made possible with generous financial support from Google.org.

June 18

The future is now. Begin to prepare your students for the world of artificial intelligence (AI) through this hands-on, engaging 90-minute workshop that will provide a practical introduction to AI, covering its mechanics, applications, and ethical implications.

*Participants will receive a lesson plan that encourages critical thinking and fosters a deeper understanding of data sharing and prompt engineering.
*This workshop is tailored for middle and high school teachers who want to support their students in navigating the evolving landscape of AI.
Participants will receive a lesson plan that encourages critical thinking and fosters a deeper understanding of data sharing and prompt engineering.
This workshop is tailored for middle and high school teachers who want to support their students in navigating the evolving landscape of AI.

Participants will engage in and receive a full lesson plan focused on the ideas of independence and conditional probability.

mathematics teachers.

June 17-18

Data Fluency 3-day Professional Learning June 17-18, 2025 + 1 follow-up day in the fall*

This professional learning introduces place-based, data-rich strategies to support data fluency. Individuals with data fluency are confident and able to use and make sense of data, knowing when, how, and why to use data for a specific purpose such as solving problems and communicating ideas. In a place-based approach, learning is anchored in authentic engagement with local phenomena, physical landscapes, and connections to cultures and communities.

Program Highlights:

– Engage in an adult-level outdoor learning experience
– Explore instructional strategies to help students effectively interact with data
– Gain valuable resources to use in your classroom
– Deepen your abilities to identify and address common student difficulties when making sense of data
– Expand your knowledge and teaching strategies for utilizing placed-based approaches to support students’ data fluency
– Connect with other teachers who are passionate about using a place-based approach to expanding data opportunities to all students

June 24-27

This workshop is organized by UC Berkeley Data Science Undergraduate Studies with support from the California Learning Lab.

Free for attendees, space is usually limited to around 100 in person.
This year's workshop program has not been finalized but details will be added to the website. For questions, please email ds-help@berkeley.edu
*Proposed panels and talks are subject to change

Asynchronous

If you’re a grades 4-10 science, social studies or math teacher looking to uplevel your graphing while working less hard at it so that it can work better for your students than you already know that…practice makes progress!

By the end of this course,
you will confidently…


Know each data visualization type forwards-and-backwards.
Knowing what the various graph, chart, plot, and map types are that we are asking our K-12 students to know is HUGE for us being able to teach our students about them.
Easily identify when and why to make each data visualization type.
Knowing what they are is only a first step with data visualizations. Knowing that you can easily and quickly pick the best graph, chart, plot, map type for your dataset and students need is CRITICAL.
Make each data visualization -- using free software -- like the rockstar you are!
Knowing what, why, and when are important but...the meat of it all is being able to make whichever graph, chart, plot, map that you want with ease and success yourself so that you can teach them to your students

July 7-11`

In addition to our demonstrations of lesson plans and hands-on activities focused on teaching science, we are excited to partner with DataClassroom to help STEM educators build confidence with data collection, formatting, graphing, and statistical analysis. No prior experience is necessary - we will begin with the basics to help you discover exciting new possibilities for teaching data skills - from learning with curated datasets to the analysis of new data collected right in your classroom! During the workshop, we will start with Classroom-Ready lesson plans based on real datasets, then conduct our own studies in the classroom (and outdoors!) to build confidence in a variety of different ways to teach data collection, analysis, and graphing.