Graduate Certificate of Professional Data Analytics
Spend 6 months studying data analytics for business and excel as a data analyst. Gain hands-on skills with Python and data visualisation tools. Developed in collaboration with Tableau, this course includes the chance to prep for certification.
About the Course
We’ve partnered with leading analytics platform Tableau to provide you with the industry-relevant experience you need to excel as a data analyst. This bootcamp equips you with practical, hands-on skills and is informed by world-renowned data experts.
Data analysts interpret complex data patterns and use that information to make valuable business decisions.
Since we’re in the age of analytics, the need for skilled data analysts is only predicted to skyrocket, with a 27.7 per cent job increase expected in the next five years.
Swinburne Online’s Graduate Certificate of Professional Data Analytics is designed with industry mentor Tableau to ensure your skills are relevant to what employers are looking for these days. You’ll have the opportunity to work directly with industry experts and apply your skills to live projects.
This course also offers you the opportunity to obtain the Tableau Desktop Certified Specialist certification. This industry-accredited qualification will demonstrate your advanced abilities to the market so that you can enjoy greater job security, higher salaries and new job opportunities. The Graduate Certificate of Professional Data Analytics will help prepare you for the exam, and at no extra cost.
Swinburne’s employment-driven bootcamps are formal postgraduate qualifications in an in-demand field.
Course Entry Requirements
Bachelor degree.
- 3-5 years full time work experience (requires computer literacy); OR
- 2 years related work experience; OR
- If you have less than two years related work experience, an additional relevant tertiary qualification (minimum AQF 6) is required. Even if this tertiary qualification is incomplete, you may still be eligible for entry depending on the circumstances.
Recognition of Prior Learning (RPL) allows students to gain credit (advanced standing) towards their course in recognition of skills and knowledge gained through work experience, life experience and/or formal training. Applicants are assessed on a case-by-case basis. Speak to a Course Consultant about applying for RPL.
Course Structure
Recommended study pattern
Data Analytics for Business (INF60018)
Data Analytics with Python (COS60012)
Data Science with Python and R (COS60013)
Organisational Growth and Innovation Capstone Project (BUS60017)
Award requirements
To qualify for the award of Graduate Certificate of Professional Data Analytics students must complete 50 credit points comprising:
- Four (4) core units of study.
Analytics
Acquire the fundamental data analytics skills that will allow you to think analytically, using data modelling and visualisation to support evidence-based, strategic decision-making within an organisation.
Sustainable Change
Develop and critique sustainable business practices in real world environments.
Managing Diversity
Learn how team diversity can contribute to a high performance working environment.
Leadership & Management
Learn how to apply leadership and management concepts to real workplace situations.
