VCE Data Analytics U3O1: Sourcing, validating and referencing data
Students learn to find authentic data in large repositories, download and import it, check it with existence, type and range validation, and credit sources using APA referencing.
One content description from the full VCE Data Analytics - U3O1 - Data Analytics journey. All 21 modules below are in that journey too, with the same content — add just these to a class, or the whole strand.
Modules (21)
1
Primary and secondary data sources
2
Authentic data in large repositories
3
Open data portals and data licences
4
Dataset file formats: CSV, XLSX, JSON and XML
5
Importing data from a CSV file
6
Importing a CSV file into a database table
7
Judging the quality of a dataset
8
Validation: why data is checked on entry
9
Types of validation check
10
Existence checking in a spreadsheet
11
Type checking in a spreadsheet
12
Range checking in a spreadsheet
13
Setting spreadsheet data validation rules
14
Validation rules on database fields
15
SQL constraints for validation
16
Purpose of APA referencing
17
APA in-text citations
18
APA reference list entry structure
19
APA reference for a dataset or report
20
APA reference for a web page
21
APA referencing of AI-generated content
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