Graduate Certificate of Professional Data Analytics
Bootcamp - Swinburne Online - online delivery only
Prime yourself for career success in a high growth area with our data analytics course developed in collaboration with Tableau. Gain a much sought-after analytics skillset in our bootcamp delivery which fast-tracks your learning, with no prior IT background required.
In a world where data is increasingly complex, businesses that have the skills to harness data-driven insights are better-positioned to succeed. In this course you will develop a broad knowledge of the data management lifecycle and understand the power of data-driven decision making with access to software support from Tableau. You will complete projects co-designed with industry that present real-world challenges, giving you the opportunity to hone your skills in a professional framework.
Upon graduation, you will be ready to work as a data analyst across a range of industries, by taking data in its raw form and transforming it into actionable business insights. You will also be prepared to pursue advanced education in data analysis.
Duration
6 months full-time
Intakes
Online (Quarter 1, Quarter 2, Quarter 3, Quarter 4) - View application and start dates
Study mode
- Online
2024 Start Dates
2023 Start Dates
Course information in detail
- Course detail, course structure and units of study.
Course description
Course structure
- Four (4) core units of study
Maximum Academic Credit
Units of study
Careers and graduate outcomes
- Career opportunities, course aims and objectives and graduate skills.
Career opportunities
Aims and objectives
Most importantly, each unit within the course is driven by learners completing projects which have been co-designed with Employer Partners
- Theoretical knowledge and understanding required to solve the problem at hand;
- Technical skills and experience with key technologies so as to be able to complete the project;
- Enterprise skills and digital literacy required to effectively transition into the workplace in a business / data analyst role;
- A project portfolio which can be utilised to showcase their skills and understanding as they seek meaningful job and career outcomes.
Graduate skills
On successful completion of this Course students will be able to:
| # | Description |
|---|---|
| CLO1 | Rationalise problem analysis and decision-making methodologies to identify, design and implement solutions to industry relevant problems with intellectual independence |
| CLO2 | Advise and implement analytics techniques in diverse contexts |
| CLO3 | Exhibit effective use of industry tools for data and information communication |
| CLO4 | Exhibit effective use of Python to perform advanced data analysis and visualisation |
The Swinburne experience
- Study abroad.
Study abroad opportunities
Pathways and scholarships
- Credit transfer, recognition of prior learning and scholarships.
Course fees and requirements
- Entry requirements and non-year 12 entry.
Course fees
How do I pay my fees?
FEE-HELP is a loan given to eligible full-fee paying higher education students to help pay part or all of their tuition fees. The Commonwealth Government pays the amount of the loan directly to Swinburne.
Entry requirements
- A recognised bachelor degree OR
- Two years equivalent full-time related professional experience* OR
- Three to five years equivalent full-time relevant experience that includes computer literacy OR
- Partially completed related tertiary qualification from AQF 6 and less than two years work experience