11–12Enterprise Computing 11–12 Syllabus (2022)

Recognise Loading  as images, audio, video, text or numbers

Recognise everyday data

Explore Loading 

Identify the uses of various types of data

Identify examples of how data is used in everyday life

Explore common, everyday data Loading 

Participate in activities that produce data

Explore how data is collected or captured

Create a personalised, individual Loading 

Identify tools for collecting data and Loading 

Select an appropriate tool to collect data

Collect familiar data for a specific purpose

Develop a print or digital survey to collect data to solve a problem

Collect data from a range of sources

Explore Loading  and factors affecting data collection, ownership and access for diverse cultural groups, including Loading  through Loading  rights

Use a spreadsheet to prepare raw data into categories, to add structure to data

Collect and sort Loading  and Loading  using appropriate digital tools

Edit data using appropriate software

Engage with data in displayed graphs, tables or charts

Explore and describe datasets in displayed graphs, tables or charts

Compare and contrast quantitative and qualitative data types

Recognise that data can be structured and unstructured

Identify a range of manual and computerised methods for analysing information

Use different data-processing software

Recognise how programs process data

Identify methods and applications of data interpretation and presentation

Organise data in a format appropriate for data retrieval and analysis

Explore datasets in spreadsheet processors and how the datasets can be transformed into information for processing

Identify trends, patterns and relationships in data and information

Use formulas in a spreadsheet to analyse datasets

Identify a range of manual and computerised tools for storing and retrieving data

Identify the functions and use of cloud storage in improving access to storage

Use appropriate software to store and process data

Explore secure systems to access data

Recognise that data is sensitive and needs to be stored securely

Identify ways that data can be at risk

Participate in discussing privacy issues associated with data collection and storage

Explore privacy and security requirements of data

Identify ways to keep data safe

Recognise how data is used and stored by Loading 

Identify criteria that can be used to evaluate the success of data security measures

Participate in the production of a secure data system for a specific purpose

Engage with infographics

Recognise that data being represented in a visual way makes it easier to understand

Identify data Loading 

Identify different Loading  visualisation

Identify the anatomy of data visualisation graphs, charts, plots and other visualisations

Use data visualisation to represent information

Explore how data visualisation supports data analysis

Explore how data visualisation is used in everyday contexts

Identify the audience and intentions when using data visualisation in a business

Explore the interactive features of data visualisation to engage users

Consider which data visualisation tool is appropriate for an individual dataset

Design a data visualisation that can be used to make decisions

Recognise which data visualisation is most suitable to generate graphs, charts, plots and other visualisations for data analysis

Explore data accessed by consumers in Loading 

Recognise that businesses collect and store data digitally

Explore types of data collected by businesses

Recognise data that might be collected by businesses

Identify ways businesses collect consumer data

Recognise social and ethical issues with the use of personal data by businesses

Explore how various transactions have affected the way consumers and businesses interact securely

Explain the importance of data security to an enterprise

Explore how data discovery is used in enterprise