Here you can download:

• Outcomes in Early Years and Primary (Excel file)
• Outcomes in Secondary (Excel file)
• Topics for using data skills (Powerpoint with Outcomes)

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/learndata/

These materials support data science and statistical learning, focusing on core concepts rather than specific tools. Designed for learners at varying levels, the resources facilitate a strong foundation in data handling, analysis, and visualization through practical exercises in Microsoft Excel, Google Sheets, or Python.

Each linked page contains downloadable ZIP files with PowerPoint lessons, worksheets, and answer keys, along with Excel spreadsheets or Python code where applicable. Topics are structured for flexibility, with each designed for one to two class sessions, and some Level 6 tasks encouraging exploration with programming.

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Have you used one of these books to teach data in your classroom and want to share your experience? Is there a book not listed below that you would recommend to other teachers? Get in touch!

David Smith (2018) If the world were a village. Bloomsbury Education.

David Smith (2016) If… A mind bending way of looking at big ideas and numbers. Wayland.

Miranda Smith (2022) If the world were 100 animals Red Shed.

Carl Bergstrom and Jevin West (2021) Calling Bullshit. The art of scepticism in a data-driven world. Penguin Random House.

Ron Ritchart, Mark Church, and Karin Morrison (2011) Making Thinking Visible: How to promote engagement, understanding, and independence for all learners. Jossey-Bass

 

Stuart Murphy (2022) Show and Tell! Great graphs and smart charts: an introduction to infographics. Charlesbridge Publishing.

 

James Cheshire and Oliver Uberti (2016) Where the animals go: Tracking Wildlife with Technology in 50 Maps and Graphics. Particular Books.

 

James Cheshire and Oliver Uberti (2021) Atlas of the Invisible. Particular Books.

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Find a visualisation to use as a starting point for a lesson or a conversation with your learners, or have your learners look through some examples before creating a data visualisation of their own.

©Ìý, University of Edinburgh, 2024. This resource is licensed , unless otherwise indicated.

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Briefing for Agents: The VIKINGS have used their experimental time travel textual transmission technology (or 5T for short) to send information back in time to help them raise the money they need to build their secret lair. A DATA operative has snuck into each VIKINGS’ base to find clues about what they’re up to. Can you figure out what information each of the four VIKINGS villains have sent back to themselves?

Description of learners’ task: Learners will use different graphs and tables of data to solve a set of four puzzles. Along the way they will learn about cybersecurity topics such as password safety and phishing attacks.

Timing: The four puzzles in this set can be done all together or over separate sessions, in any order. Each puzzle should take 20-40 minutes.

Materials for all puzzles:

• • Slides introducing all four puzzles
  • Instructions handout for all four puzzles
  • Worksheet for filling in all answers
  • Answer key
  • Educator’s guide to further resources

Materials for individual puzzles:

• Not so noble Nobel Prize:
• • Press clipping
  • Nobel prize winners list
  • Bar chart worksheet
• Going viral to get rich:
  • Social media data
  • Line graph worksheet
• Phishing for Money:
  • Billionaire data (to be cut into strips along dashed lines)
• Bitcoin treasure hunt:
  • Press article
  • Council landfill records
  • Landfill map
  • Extra mission: when to sell the loot?

Extension activity:

What information would you send back to yourself in the past to do good, not evil? You can only send 144 characters.

If you require a resource in an alternative format, such as large print or a coloured background, please contact dataschools@ed.ac.uk detailing which resource(s) you require.

©Ìý, University of Edinburgh, 2024. This resource is licensed , unless otherwise indicated.

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The guide offers practical guidance, links to resources and a poster to support teaching data literacy skills and concepts across the primary curriculum.

Along with discussions of the importance of real world data and the impact of data both on our personal lives and society as a whole, the resource outlines how teachers can use the ‘PPDAC’ (Problem, Plan, ÌìÃÀÊÓƵ, Analysis, Conclusions) data problem-solving cycle in a variety ways.

The digital version of the handbook, which we hope will be used by schools across Scotland (and beyond) can be downloaded here:

Download ‘Teach ÌìÃÀÊÓƵ Literacy: a guide for primary teacher’

If you require this document in an alternative format, such as large print or a coloured background, please contact ÌìÃÀÊÓƵ by email at dataschools@ed.ac.uk

©Ìý, University of Edinburgh, 2024. This resource is licensed , unless otherwise indicated.

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• Marine Conservation Society Beach Cleanup ()  ()
• 
• Using PPDAC to investigate a problem
• 
• Dear ÌìÃÀÊÓƵ Lessons

©Ìý, University of Edinburgh, 2024. This resource is licensed , unless otherwise indicated.

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• Find

©Ìý, University of Edinburgh, 2024. This resource is licensed , unless otherwise indicated.

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Looks at ocean currents, plastic ducks and garbage patches, water levels, flooding maps, tracking seals in the oceans, data on the Great Barrier Reef, and taking this all further with Climate Detectives and Microbit Do Your Bit STEM challenges.

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©Ìý, University of Edinburgh, 2024. This resource is licensed , unless otherwise indicated.

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Part 1 of the ÌìÃÀÊÓƵ webinar on how to teach the SDGs on water using data and numeracy Looks at teaching resources on where to find water, availability of fresh water, carrying out a water survey, calculating your water footprint, importance of access to toilets and handwashing, and toilets around the world!

• • 
  • Resources investigating the use of water in the home. and
  • 
  • 
  • School Survey on sanitation: () and ()

©Ìý, University of Edinburgh, 2024. This resource is licensed , unless otherwise indicated.

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