The Library: other places we learn from

Data literacy is a movement. Here are some organizations and projects we would love to share and promote. Everything here is free unless marked otherwise. None of these are sponsorships or affiliates.

Organized the way we organize everything: understand, question, create.

Understand (learn the concepts)

• Seeing Theory (Brown University). A visual, interactive introduction to probability and statistics. If a concept from our lessons isn’t clicking, seeing it move often helps. https://seeing-theory.brown.edu
• StatQuest. Josh Starmer explains one statistical concept per video, clearly and slowly. A great second opinion on anything we teach. https://www.youtube.com/@statquest
• 3Blue1Brown. The most beautiful math visualizations on the internet; start with the probability and Bayes videos. https://www.3blue1brown.com
• Khan Academy, Statistics & Probability. Reference-style lessons and practice problems, free forever. https://www.khanacademy.org/math/statistics-probability
• Gapminder. Hans Rosling’s project for testing your worldview against data. Take their quiz. Almost everyone scores worse than a chimpanzee, and finding out why is the lesson. https://www.gapminder.org

Question (spot the tricks)

• Calling B.S. (University of Washington). An entire open course on spotting misleading data, taught by two professors. If our channel had a university-level sibling, this would be it. https://callingbullshit.org
• Spurious Correlations. Tyler Vigen’s collection of absurd correlations, like cheese consumption versus bedsheet deaths. Correlation is not causation, made unforgettable. https://tylervigen.com/spurious-correlations
• StatsChat (University of Auckland). Statisticians reacting to numbers in the news. https://www.statschat.org.nz
• Full Fact. Professional fact-checkers at work. Fact-checking is a career our students should know exists. https://fullfact.org

Create (data and tools)

Looking for data of your own? Our Free Data Sources Online series shows where to find it and how to look around.

• Kaggle. Free public datasets, shared notebooks, and short courses, from a community of data scientists. We walk through its competitions, datasets and courses in our episode on Kaggle. https://www.kaggle.com
• CODAP (Concord Consortium). Free, browser-based data exploration built specifically for schools. No account needed. https://codap.concord.org
• Our World in Data. Clean, cited, downloadable datasets on nearly everything that matters. https://ourworldindata.org
• TidyTuesday. A new dataset every week, and a community that shares what they make from it. https://github.com/rfordatascience/tidytuesday
• Data Is Plural. A weekly newsletter of curious datasets, and our favorite way to find a project idea. https://www.data-is-plural.com
• StatsBomb Open Data. The free, shot-level football data behind our World Cup model. https://github.com/statsbomb/open-data
• The Pudding. Data storytelling at its most creative. This is what “analytical storytelling” looks like when it grows up. https://pudding.cool

For teachers

• Skew The Script. Free, real-world statistics lessons for the classroom, and the closest cousin to our philosophy we’ve found. https://skewthescript.org
• Census at School (American Statistical Association). Your class collects data about itself and compares with classrooms worldwide. A ready-made Project 1 companion. https://ww2.amstat.org/censusatschool
• This is Statistics (ASA). Careers and pathways in statistics, for the student who asks “but what job does this get me?” https://thisisstatistics.org
• GAISE Guidelines (ASA). The standards document for statistics education; useful when you need to justify a data unit to an administrator. https://www.amstat.org/education/guidelines-for-assessment-and-instruction-in-statistics-education-(gaise)-reports

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Know something that belongs on this shelf? Tell us through the contact form or in any video’s comments. Let’s grow the Library like any good dataset.