Analyzing the data

Introduction

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Data is a really fundamental part of everyday life and lots of people;  jobs and business rely on the data that is collected to enable them to effectively work with their clients or produce products or systems which work for the public.

Through Digital Data Handling learners will:​

  • ​Understand what is data and why it is needed

  • How data can be collected

  • How to analyse and understand the data

  • ​​Present the data to others

Examples of data collection could be collecting information on how many items of a certain product in a supermarket is being bought each day, which websites people click on and visit the most or surveys about people's opinions. All these types of data gathering will give someone the opportunity to analyse the data and work out trends and common factors which will help them to be more effective.​

The eLearner Framework - Programmer

​The eLearner Framework for Digital Data Handler gives schools a set of skills / assessment statements to evaluate student progress in research and presentation skills.

 

These statements are organised into a five stage (EDCIT) model of progress for students from age 5 to age 18: Exploratory, Developing, Confident, Independent and Transformational. We do not associate these stages with ages / key stages, but please remember that the statements include secondary education; we do not anticipate that Year 6 students will be operating at Transformational Level!

 

To browse the eLearner Framework statements for Digital Data Handler or to download PDFs of the statements, use the useful links:

 

To browse the eLearner framework for Digital Data Handler click here​​​​