Years 9–10: Data science skills
This unit introduces data science as a process, focusing on specific skills used in data science. These include the acquisition of data from surveys, sensors or online repositories; storage and analysis of that data; and its visualisation, including with interactivity. When acquiring and analysing data, students can apply the Australian Privacy Principles formally introduced in the years 9–10 Cybersecurity unit. They can also build on the database and spreadsheet skills introduced in the years 7–8 Working with data unit, now querying relational databases and using more advanced spreadsheet formulas and functions.
Additional details
| Year band(s) | 9-10 |
|---|---|
| Content type | Scope and sequence, Whole School |
| Format | Web page |
| Core and overarching concepts | Privacy and security, Data acquisition, Data interpretation |
| Australian Curriculum Digital Technologies code(s) |
AC9TDI10P01
Develop techniques to acquire, store and validate data from a range of sources using software, including spreadsheets and databases
AC9TDI10P02
Analyse and visualise data interactively using a range of software, including spreadsheets and databases, to draw conclusions and make predictions by identifying trends and outliers
AC9TDI10P03
Model and query entities and their relationships using structured data
AC9TDI10P07
Design and prototype the user experience of a digital system
AC9TDI10P14
Apply the Australian Privacy Principles to critique and manage the digital footprint that existing systems and student solutions collect |
| Keywords | scope and sequence, scope, sequence |
| Integrated, cross-curriculum, special needs | Mathematics, Digital Literacy, Critical and creative thinking |
| Organisation | ESA |
| Copyright | Creative Commons Attribution 4.0, unless otherwise indicated. |
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