Swinburne Open Education
Certificate IV in Business Big Data
Course Information
Big data - it's here now, and the future. Study online BSB40120 Certificate IV in Business (Big Data) and get the skills you need for job opportunities in data analysis, business intelligence, data insights, and marketing and performance.
As more and more industries recognise the potential of big data, employees with skills in capturing, interpreting and taking advantage of that data will grow in importance. Companies in every sector, industry and government are investing in employees with these skills today and in the future.
With this nationally recognised online data analytics course you will gain a specialisation in big data, with the skills and knowledge required to analyse transactional and non-transactional big data in order to provide insights that are used in organisations. It involves identifying trends and relationships within big data, and establishing data acceptability, as well as forming recommendations based on the analysis, and reporting on analysis findings.
This course is not available to International students.
12–18 months (self-paced)
This course is designed and delivered fully online, allowing you to learn anywhere, anytime on any device — desktop, tablet or mobile.
- Learn through regular trainer-led online sessions and native content
- Engage with your learning community through online forums and messages
- Access learning materials, undertake and upload assessments, and access grades and feedback through the online platform
- Understand mathematical and statistical concepts
- Complete complex calculations and record numerical data
- Identify and interpret information from big data sources
- Prepare big data analysis in/for reports
- Efficiently and logically sequence the stages of big data analysis
- Use modern technology platforms to analyse big data
- Apply basic programming to conduct big data analysis
This course is suited to individuals who want to help businesses grow and gain a competitive edge by translating complex data into meaningful insights. It is ideal for those seeking careers in data analysis, business intelligence, data insights, or marketing and performance roles. Not available to international students.
Subjects
This big data course contains 12 online modules, covering 6 core units and 6 elective units of competency. Once enrolled, you begin with the first module and must complete each module before the next becomes available.
Payment Option
About Swinburne Open Education
We are focused on helping more and more Australians achieve their career aspirations and ensuring they’re prepared for future workforce needs. We support you to achieve your career goals, from work-integrated learning, to work placement. We’ve partnered with industry experts that need people like you, now.
Swinburne Open Education courses are delivered and assessed by UP Education, one of the largest private education groups in the Asia-Pacific. All qualifications are nationally recognised in Australia and are awarded by Swinburne University of Technology.
Together, UP Education and Swinburne University of Technology have established Swinburne Open Education – a world-class, online native learning platform, to help you reach your career goals, anytime, anywhere.
Swinburne University of Technology is a registered training organisation (RTO 3059)
Career Pathway
- Big data analyst
- Business intelligence analyst
- Data and insights analyst
- Marketing and performance analyst
Course Features
- Fully online, self-paced study — learn anywhere, anytime on any device
- Regular trainer-led online sessions and native digital content
- Online forums and messaging to engage with trainers and fellow students
- One-on-one video calls with trainers available for extra support
- Monthly Course Spotlight video with helpful guidance
- Extensions of up to 6 months available if needed
- Option to reduce course fee liability to 50% if you opt out before the halfway point
Professional Recognition
This is a nationally approved vocational course that is recognised throughout Australia
This is a Nationally Recognised Training (NRT) qualification (BSB40120), awarded by Swinburne University of Technology (RTO 3059).
Eligibility
There are no formal entry requirements for this qualification. However, participants must be 18 years old or over.
This course is not available to International students.
IT Requirements:
Desktop or laptop:
- Latest version of Chrome or Safari
- Microsoft Office (2010 or higher)
- Adobe PDF Reader
Mobile or tablet:
- Latest version of Chrome or Safari
- Latest version of Android
- Latest version of iOS
Note: Students using a mobile or tablet will need to upload documents from a laptop or desktop or have a Dropbox account.
Device requirement: To complete the Analyse Big Data unit (BSBXBD403), you'll need access to a Windows computer to use Power BI Desktop. If you're using a Mac or iPad, please borrow a Windows device to complete this part of the course.
Curriculum
- Online quizzes
- Short answer questions
- Projects
- Written reports
- Case studies
- Video and audio role plays
- Presentations and demonstrations
Additional Information
Instructor: Colin Jung — a seasoned IT educator and field engineer with over 20 years of experience in the information technology industry. He holds a master's degree in ICT, specialising in networking and cybersecurity, with professional experience across government, financial, and healthcare sectors.
Want to know more about this course?
Complete the form and learn about:
- Pricing and payment options
- Start dates
- Subjects
- Study method
- How to get help and contact information
- Everything you need to know before enrolling!
What can you expect?
Complete the form and learn about everything you need to know before enrolling!
- Receive a consultation from a course expert
- Pricing and payment options
- Start dates
- Subjects
- Study Method
- How to get help and contact information
Want to know more about this course?
Get your free course guide now! Complete this easy form and you'll receive a course guide and consultation from Swinburne Open Education