Upcoming Workshops

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

“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

Citizen Science Datasets: How to find and explore unfamiliar datasets

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

Using 2 Citizen Science datasets, Dr. Nigel Standish will walk through formatting, visualizing, and analyzing a new to you dataset.

Past Workshops

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

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

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