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Summer PD Workshop Opportunities
Calling all educators! Supercharge Your Summer with Data Science Professional Development Workshops
Are you ready to revolutionize your teaching approach and empower your students with essential data science skills? Our partners' summer professional development workshops are specifically crafted for teachers like you who are passionate about integrating data science into their curriculum. Check out all of the workshops being offered across the country (and virtually!) this summer below.
Have a summer professional development opportunity you’d like posted? Reach out to us here!
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Bootstrap Algebra 2/IM3: A Data Science Approach PD
July 13-17
Teach students to apply Algebra and sense-making to real-world data and explore data visualizations on topics students care about. Learn with models from linear to periodic. This is a great opportunity with the cost discounted 70% off! Reserve your seat today at bootstrapworld.org/workshops. Space is limited to the first 30 registrants.
Provided By
Bootstrap
Deadline
Data Minds: Teaching Data Ideas Across the Grades
June 11-12, 2026
Come and learn from the youcubed team as we share new ideas for bringing data into your teaching across the grades, starting from the youngest learners all the way up to the early years of high school. This does not mean teaching new content, it means teaching with a data flair, helping mathematical ideas come alive with real data. Jo & Cathy will share from their book: Data Minds. You will learn how to teach data investigations, see examples from teachers and students, and generally become data empowered with ideas that you can take and use in your classrooms immediately.
The workshop begins at 9:00 am each day and ends at 3:00 pm each day.
Provided By
youcubed
Deadline
National Workshop on Data Science Education
June 22-24, 2026
The annual National Workshop for Data Science Education is a multi-day event series that offers opportunities to learn about data science education and meet fellow educators involved in shaping the discipline at the undergraduate level. (Free for attendees). Get ready for an exciting deep dive into the future of data science education! Here’s a sneak peek at what you can expect:
AI in Education – Explore how artificial intelligence is shaping the way we teach and learn.
Interdisciplinary Data Science – Learn about resources to welcome students from non-technical fields into data science education and discover unique applications of the discipline.
Thematic Panels – Engage with topics set to advance education in the field.
Learning Lab Cohort Meeting (Invite Only) – A dedicated space for California Learning Lab’s data science Grand Challenge grantees to collaborate and innovate.
Provided By
UC Berkeley's Data Science Undergraduate Studies
Deadline
Data Literacy Micro Credentials
Asynchronous
In this workshop, participants will review fundamental data, graphing, and statistical reasoning concepts and topics, and learn how to integrate these ideas into their own instructional practice to increase the tools in their data toolkits.
Provided By
Tuva
Deadline
N/A
Teaching the Youcubed High School Data Science Course – Live
June 16–17, 2026
July 22–23, 2026
High school teachers, join the youcubed curriculum writing team for an introductory workshop designed to prepare you to teach all eight units of Explorations in Data Science, youcubed’s project-based high school data science curriculum. This curriculum can be used as a full year course or unit can be integrated into mathematics, statistics or data science courses.
This live online workshop, conducted via Zoom, will guide educators through the structure, goals, and instructional approaches of the curriculum. Across four days of interactive sessions, participants will explore Units 1–8, experience key classroom activities as learners, and become familiar with the technology tools that support the course.
Led by members of the youcubed team who helped design the curriculum, the workshop provides opportunities to engage with rich data investigations, discuss instructional strategies, and learn how to support students in developing data reasoning, critical thinking, and collaborative problem solving.
By the end of the workshop, participants will:
Gain a clear understanding of the goals and progression of all eight units
Experience core investigations and classroom activities from the curriculum
Learn how to use the course’s technology tools and datasets
Explore instructional strategies that support inquiry, discussion, and collaborative data analysis
Sessions are interactive and collaborative, with time for questions, discussion, and reflection with the curriculum team and fellow educators.
Join us for four days of learning and preparation so you can confidently bring Explorations in Data Science to your classroom. Recordings will be provided if you are unable to attend any portion of the workshop
Provided By
Youcubed
Deadline
Data Science Summer Institute 2026
June 22-25, 2026
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 workshop is also made possible with generous financial support from Google.org.
Provided By
NCSSM
Deadline
Friday, April 10th, 2026
Bootstrap: Data Science - Austin, TX :: July 7-July 10th, 2026
July 7-10, 2026
This workshop is open to Math, CS, DS, Science, and Social Studies teachers in grades 6-12, and will prepare you to deliver our broadest curriculum in multiple contexts. Middle school math teachers will leave with tools for discussing data visualizations (pie and bar charts, histograms, box plots, dot plots, scatter plots), measures of center and spread, probability and inference, and line-of-best-fit. High School math teachers will bring materials to their classrooms for discussing modeling data with linear functions, function composition, and linear regression. DS and CS teachers will leave with a host of tools and activities for introducing programming and data science in ways that support inquiry and math learning. Science and Social Studies teachers will learn how to use high-accessible tools that let students explore data right away - with a library of relevant datasets and an easy way to import your own. This workshop is sponsored by The University of Texas at Austin - WeTeach_CS, whose generous support allows us to offer this PD. This workshop has consistently sold out over the years, so apply now!
Provided By
Bootstrap
Deadline
Registration open now
Getting Started: DataClassroom for AP Biology
August 13, 2026
AP Biology teachers deal with a lot of data. Enzyme kinetics, ecology fieldwork, chi-square genetics problems. Getting students to actually analyze it well, instead of just making a bar graph and moving on, is harder than it sounds. In this session, Dr. Nigel Standish will show how DataClassroom fits into an AP Bio course, using real examples from labs and datasets you probably already teach.
He'll cover setting up student data from common AP labs, choosing the right statistical test, and helping students write about their results in a way that would actually score well on the exam. Whether you're new to DataClassroom or just haven't used it much with AP Bio, you'll walk away with a few things you can use right away.
Provided By
DataClassroom
Deadline
N/A
Getting Started: DataClassroom for AP Biology
August 13, 2026
AP Biology teachers deal with a lot of data. Enzyme kinetics, ecology fieldwork, chi-square genetics problems. Getting students to actually analyze it well, instead of just making a bar graph and moving on, is harder than it sounds. In this session, Dr. Nigel Standish will show how DataClassroom fits into an AP Bio course, using real examples from labs and datasets you probably already teach.
He'll cover setting up student data from common AP labs, choosing the right statistical test, and helping students write about their results in a way that would actually score well on the exam. Whether you're new to DataClassroom or just haven't used it much with AP Bio, you'll walk away with a few things you can use right away.
Provided By
DataClassroom
Deadline
Stats&DataNet
July 28, 2026 (kickoff)
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 and teacher educators 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.
Provided By
ASA
Deadline
Bootstrap: Data Science in Algebra - Austin, TX :: June 29-July 2nd, 2026
June 29-July 2, 2026
For the first time ever, we're bringing our Data-Science-in-Algebra training to the Lone Star State! We first pioneered computing-infused Algebra in Texas back in 2007, and nearly 20 years later we're bringing our newest Data Science approach back to where it all began. This workshop is open to CS, DS, CTE, and especially Math teachers in grades 8-12. If you're an Algebra 1, Algebra 2, or Quantitative Reasoning teacher, you'll find powerful ways to make linear, quadratic, exponential, logarithmic and even periodic functions come to life with real-world applications that fit right into your existing scope and sequence. If you're a CS, DS, or CTE teacher, you'll find material for an entire unit on real-world modeling that builds specific career skills while reinforcing the core math students already need to know. This workshop is sponsored by The University of Texas at Austin - WeTeach_CS, whose generous support allows us to offer this PD. Click here to apply now!
Provided By
Bootstrap
Deadline
Registration open now
Preparing for Symposiums, Poster Sessions and Science Research Competitions: The Data Presentation Playbook
July 21, 2026
Whether it's a departmental poster presentation, a regional science fair, ISEF, or a school symposium, being able to clearly explain your data analysis under pressure is a skill — and it's a skill that students can be trained in. This webinar covers how to present data and statistical findings confidently, answer judge questions about methodology, and build a poster or slide deck that sets up the data story. DataClassroom cofounder, Dr. Aaron Reedy, will share what he has learned from teaching young scientists ranging from middle school to graduate school.
For each one, he'll show how you might use it in class: what questions it can answer, what graphs and tests students can run, and how to connect it to the content you're already teaching. If you're looking for low-prep ways to work more data into your fall courses, this is a good place to start.
Provided By
DataClassroom
Deadline
N/A