COMP6434
Data Wrangling
- Credit
- 6 units
- Catalogue year
- 2027
- Recorded offerings
- Second Semester
Course information
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.
Requisite and Incompatibility
To enrol in this course you must have completed: 6 units of (COMP1110 or COMP1140 or COMP6730 or COMP6710) AND 6 units of (COMP2400 or COMP6240). Incompatible with COMP3430 and COMP8930.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Critically reflect upon different data sources, types, formats, and structures,
Research, justify and apply data cleaning, preprocessing, and standardisation for data analytics,
Apply data integration concepts and techniques to heterogeneous and distributed data,
Interpret, assess and discuss data quality measurements,
Research and justify advanced data wrangling, data integration, and database techniques as relevant to data analytics
Saved ANU Programs & Courses information, 2027. Future offerings are indicative. Checks use the saved requirements and your fictional academic record.
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