Upcoming Workshops

All workshops are FREE via Zoom unless otherwise noted. See also: Personal Demos and Professional Development.

Citizen Science Datasets: How to find and explore unfamiliar datasets

April 16, 2026 from 7:00pm - 7:45pm ET

There's a ton of freely available data being collected by citizen scientists, bird sightings, water quality readings, species observations, and it can make for great classroom material. The tricky part is finding a good dataset and figuring out what to do with it when the columns don't make sense yet.

In this session, Dr. Nigel Standish will work through two citizen science datasets in DataClassroom, formatting, visualizing, and exploring the data to show how you can go from an unfamiliar spreadsheet to meaningful analysis. If you teach biology, environmental science, or any course where students work with real data, you'll pick up some practical strategies for finding and making sense of new datasets.

Beyond the Bars and Lines: Building a visual vocabulary for graphing.

May 12, 2026 from 4:15 - 5:00pm ET

Students try to default to bar graphs for everything. This webinar helps educators teach principled visualization choices — when to use scatter plots, box plots, histograms, or line graphs — and how the shape of the data and the kinds of variables should drive the decision. Includes live DataClassroom demos and ready-to-use classroom examples. Presented by DataClassroom cofounder, Dr. Aaron Reedy.

Summer Planning: 5 Datasets to Build Your Fall Curriculum Around

June 18, 2026 from 7:00pm - 7:45pm ET

If you're starting to think about what next year might look like, one of the easiest ways to add data skills to your courses is to anchor a unit around a good dataset. In this session, Dr. Nigel Standish will walk through five datasets from the DataClassroom Resource Library, spanning biology, chemistry, environmental science, and more.

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.

Preparing for Symposiums, Poster Sessions and Science Research Competitions: The Data Presentation Playbook

July 21, 2026 from 4:15 - 5:00pm ET

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.

Getting Started: DataClassroom for AP Biology

August 13, 2026 from 7:00pm - 7:45pm ET

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.

Past Workshops

Click the button below the workshop for recordings and materials from that past workshops.

“Why Won’t My Graph Work?” How to tidy data with the new Melt, Count, and Uncount tools.

March 10, 2026 from 4:15pm - 5:00pm ET

In this hands-on DataClassroom webinar, you’ll learn three of the most powerful “tidy data” tools in the platform—Melt, Count, and Uncount—and exactly when to use each one. Whether your data starts wide, stacked, grouped, or summarized, you’ll leave with a repeatable workflow for reshaping tables so students can graph, filter, and run statistical tests with confidence.

What you’ll learn:

• The tidy data mindset: what “one row per observation” and “one column per variable” really means in the classroom

• Melt: convert wide tables (multiple timepoints, repeated measures, multiple trials) into a clean long format

• Count: summarize data into meaningful frequency tables (categories, groups, outcomes) without losing clarity

• Uncount: expand summarized counts back into row-level data when students need individual observations for graphs and tests

Making Sense of Messy Data: A Step-by-Step Guide to Exploration

February 12, 2026 from 7:00pm - 7:45pm ET

Are you working with a dataset that looks promising but don’t know where to start? Join Dr. Nigel Standish as he demonstrates how to clean, visualize, and explore new data using DataClassroom. You’ll learn practical strategies for helping students (and yourself!) turn raw numbers into meaningful insights.

Nail the IA and Power the EE: DataClassroom for IB Physics, Biology, Chemistry

Rescheduled for January 20, 2026 from 4:15pm - 5:00pm ET

Give your students the tools (and confidence) to move from “raw data” to clear, criterion-aligned analysis. In this hands-on tour, we’ll show how DataClassroom streamlines the full IB workflow—planning, collecting, analyzing, and communicating—so IA and EE investigations in Biology, Chemistry, and Physics hit the mark on Exploration, Analysis, and Evaluation.

• Biology: Build tidy datasets, summarize trials, and add error bars to compare treatments. Run appropriate tests (t-test/ANOVA/χ²)

• Chemistry: Use curve fitting to model relationships—calibration lines, kinetics, and other non-linear patterns.

• Physics: Linearize when needed, and plot uncertainty gradient.
  
  

  Who should attend: IB Biology, Chemistry, and Physics teachers; IA/EE supervisors; IB DP coordinators supporting data-driven investigations.

Getting Started: DataClassroom for Science Fair

Back by popular demand! Another installation of our Getting Started Series.

December 11, 2025 from 7:00pm - 7:45pm ET

This webinar is for all the science fair teachers, research teachers, and to those who give their students the freedom to plan and design their original experiments. In this session, Dr. Nigel Standish will cover some guidelines for refining student project ideas, thinking about analysis before data collection, setting an appropriate scale for an experiment, and of course analyzing data.

DCU Special: Making Real Data Work Accessible in Intro Biology (and other courses!)

November 18, 2025 from 4:15pm - 5:00pm ET

Bring authentic data into your course without overwhelming your students—or yourself. In this session, you’ll see how DataClassroom U lowers the barrier to working with real datasets in intro courses or labs. Learn strategies to help students move from spreadsheets to statistical thinking, practice essential analysis skills, and build a bridge toward tools like R and Python—all within a guided, user-friendly platform designed for teaching.

Guiding Students to Success with Data in IB Science IAs

September 23, 2025 from 4:15pm - 5:00pm ET

Learn how to help your students confidently work with data in their International Baccalaureate Internal Assessments (IAs). This session will demonstrate how DataClassroom makes it simple for students to collect, analyze, and visualize data—building the statistical skills IB expects while reducing confusion and saving classroom time. Perfect for IB Biology, Chemistry, Physics, and Environmental Systems & Societies teachers, this webinar will give you practical tools to support inquiry, strengthen student analysis, and elevate IA results.

Explore Past Workshops by Theme

Click to expand each category and find recordings from earlier sessions.