We’ve been working on a new course focused on the Data Analytics curriculum in Australia, and we’re excited to provide a preview of the first lesson for you!
Learning Intentions
By the end of this lesson:
- I can experience how data is collected and reported online
- I can identify and re-word analytical questions to be more specific
- I can represent data as tables, column charts and pie charts in a spreadsheet
- I understand the advantages of each type of data representation
- I can make an informed decision about how to visually represent a dataset
Below is a video introducing the first part of the lesson (4:35 mins):
Resources Needed
You can find instructional slides (and embedded videos) below:
You’ll also need:
- 📈 The link to the Snake game data dashboard 📈(follow the instructions in the video or the slides above)
- Your laptop or computational device with a keyboard
- A spreadsheet program (i.e. Microsoft Excel or Google Sheets)
Student Resources
| 📄Lesson 1 Worksheet (1 per student) | Google Doc, PDF, MS Word |
Curriculum Links
ACARA Digital Technologies v9.0 Content Descriptors:
- AC9TDI8P01: acquire, store and validate data from a range of sources using software, including spreadsheets and databases
- AC9TDI8P02: analyse and visualise data using a range of software, including spreadsheets and databases, to draw conclusions and make predictions by identifying trends
NSW Computing Technology Syllabus Outcomes:
- TE4-DIG-02: uses data and digital systems to code, design and produce projects
Victorian Digital Technologies 2.0 Content Descriptors:
- VC2TDI8D02: acquire, store, manipulate and validate data from a range of sources using software tools, including spreadsheets and single-table databases
- VC2TDI8D03: analyse and visualise data using a range of software, including spreadsheets and simple database queries, draw conclusions and make predictions by identifying trends
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