Data Culture
The primary aim of Data Culture is to promote awareness and knowledge of being a data driven organisation.
The foundational Stage - recognising that data exists and influences decisions.
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Key Abilities​​:
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Recognise that data is information we can capture, store and analyse.
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Understand why we visualise data.
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Notice when data is being used to persuade or inform.
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Identify data types and simple charts.
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Typical Learner Mindset:
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"I know data is important, and I can spot when it is being used"
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The hands-on stage - being able to work with data in practical ways.
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Key Abilities​​:
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Acquire raw data ad transform it into a tidy structure structured form, ready for analysis.
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Use basic tools like Excel for analysing data and basic coding.
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Formulate questions that clarify what you want to learn and drive meaningful analysis.
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Interpret charts that use various techniques and understand the benefits of design simplicity.
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Understand the basic statistics (averages, trends, distributions).
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Typical Learner Mindset:
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"I can work with data, explore it, and draw meaningful conclusions"
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Data Fluency
The advanced stage - using data confidently, critically an strategically.
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Key Abilities​​:
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Explain patterns or make predictions, end evaluate their accuracy and limitations.
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Communicate insights clearly to different audiences.
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Challenge assumptions and spot flawed analyses.
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Make data-driven decisions with context and nuance.
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Integrate data thinking into strategy, design and problem solving.
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Typical Learner Mindset:
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""I can think with data, not just about data"
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