Data Acquisition and Wrangling
UndergraduateUSA-INFT20672025
Course information for 2025 intake View information for 2024 course intake
Enrol today with instant approval and no entry requirements
- Study method
- 100% online
- Assessments
- 100% online
- Enrol by
- 5 Jan 2025
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 10 weeks
- Price from
- $2,300
- Upfront cost
- $0
- Loan available
- FEE-HELP available
Data Acquisition and Wrangling
About this subject
By the end of this 10-week course, you’ll be able to:
- 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.
- Data and the enterprise
- Introduction to data wrangling
- Data acquisition
- Data profiling
- Data transformations: structuring
- Cleaning and enriching data
- Data visualization
In this course you’ll design ingestion mechanisms, which takes data from existing databases and prepares it for further analysis and machine learning. You'll also learn about data-driven decision making and data quality. Develop your skills in data acquisition with Python and get into data wrangling tasks including data profiling, cleaning, transformation, and enrichment. Build detailed visualisations that help others to interpret what the data is saying. Explore industry use cases in Python, Tableau, and other data analysis software.
UniSA Online’s 10-week short courses give you the flexibility to up-skill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree.
Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device.
This is a second-year course from UniSA Online’s Bachelor of Data Analytics degree. Please note: you are responsible for completing any relevant prerequisite courses before enrolling in this course.
- Continuous assessment (40%)
- Project (60%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
No entry requirements
Additional requirements
- Other requirements - Students must be aged 17 or older by the time teaching commences for their course of study, in accordance with UniSA’s Selection and entry to programs policy.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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