NPA Curriculum Materials

This page provides access to a comprehensive set of resources covering a significant portion of the National Progression Award (NPA) curriculum across Levels 4, 5, and 6.

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Data Viz Quiz

Put your graph-reading skills to the test in our Data Viz Quiz challenge!

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Christmas Graphs Quiz

Put your graph-reading skills to the test in our seasonal Data Viz Quiz challenge!

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Books for discussing data

Below is a list of books which teachers have found useful for starting conversations about data in the classroom. Book reviews from teachers and learners will be linked below each title as we receive them.

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Data Visualisation Examples

We have pulled together an (ever-growing!) set of data visualisation examples, categorised by type—e.g. bar charts, pie charts, line graphs, scatter plots, histograms, heat maps, and many more—as well as curricular level at which we would expect comprehension and creation of each graph.

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Datasets resource

Interested in Pokemon? Hip hop music? Air quality? Gender equality? Football? Space dogs? There's a data set for it!

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NPA Data Science – SOLAR Dashboard Assessment Exemplar

This PDF document provides guidance on a method for developing an interactive dashboard that fulfils the criteria for the NPA Data Science SOLAR assessment question on mapping bike routes using historical Just Eat bikes data. It is provided as an example of how students could successfully meet the criteria.

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CityFibre’s ‘Internet for All’ Data Challenge

NPA Data Science: Level 6 assessment exemplar How do we make sure everyone in Scotland as fast internet access? The Scottish Government has committed to having superfast broadband access to all by the end of 2021. Grants are in place for suppliers to help deliver this mission.

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Water Pollution – Developing Data Literacy Skills

This resource introduces an understanding of water pollution, what is it, how do we measure it and why does it matter.  Young people are encouraged to develop data literacy skills through an understanding of water. This material was taken from our Webinar - Making a Splash with Data

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