UO Data Acquisition and Wrangling

Undergraduate | 2026

Course page banner
area/catalogue icon
Area/Catalogue
INFO 2029
Course ID icon
Course ID
203909
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
alt
Note:
Course data is interim and subject to change

Course overview

The aim of this course is to design ingestion mechanisms from existing databases that prepare data for further analysis. The aim of this course is topics covered in this course include: different data types and formats; regular expressions; web scraping; data exploration, visualisation and preliminary analysis, data profiling and exploratory data analysis; data quality verification, missing data analysis; data wrangling; data cleansing; filtering; sampling; normalisation; visualisations.

Course learning outcomes

  • Assemble requirements and implement processes for data structuring, cleaning, and enrichment via utilising multiple tools.
  • Identify the alignment required between data collection and analysis.
  • Design sustainable data management processes that support the analysis and report phases.
  • Create effective documentation reflecting the structure of data sets prepared for further analysis.
  • Compare the privacy and ethical implications of sourcing internal and external data.
  • Perform self-service data preparation.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A