COMP8930 Data Wrangling
Not offered in 20246 units8000-level
Real-world data are commonly messy, distributed, and heterogeneous. This course introduces core concepts of data cleaning and standardisation, and data integration, that are aimed at converting and mapping raw data into other formats that allow more efficient and convenient use and analysis of data. The courses also discusses data quality, management, and storage issues as relevant to data analytics.
- 2024not offered
- 2025not offered
- 2026not listed
- 2027not listed
Prerequisites in 2024
Read automatically from the handbook's wording
All of
One of
- enrolment in the Master of Applied Data Analytics
- enrolment in the Graduate Diploma of Applied Data Analytics
- enrolment in the Graduate Certificate of Data Engineering
Incompatible with COMP3430, COMP8430: you can't count both.
The handbook's original wording (2024–2025)
To enrol in this course you must have completed either COMP7230 , COMP6730 or COMP6710 ; AND either COMP7240 or COMP6240 ; AND be enrolled in either the Master of Applied Data Analytics or the Graduate Diploma of Applied Data Analytics or the Graduate Certificate of Data Engineering. Incompatible with COMP3430 and COMP8430 .
What it leads to in 2024
No course names COMP8930 in its 2024 prerequisites.