Course overview
The purpose of this course is to help you further develop your data science skills and knowledge, as well as demonstrate autonomy, initiative and accountability by completing a medium-scale data science project using real-world datasets. This project will entail assessing, selecting and applying relevant data science techniques, principles and theory to a data science problem. You will consider the nature of your data and identify any social or ethical concerns, as well as appropriate ethical frameworks for data management. As part of this learning experience, you will develop, hone and demonstrate your professional communicative competence.
Course learning outcomes
- Apply data analysis principles and theory to process and analyse real-world big data.
- Evaluate data analysis techniques by them applying real-world datasets using benchmark metrics.
- Develop algorithms based on learnt techniques for the statistical analysis of big data.
- Identify project goals, develop project milestones and execute them accordingly.
- Analyse known industry studies and simulate assessment by following industry standards.
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.