Home > Courses > Data Analytics > Certificate IV in Business Big Data
BSB40120

Certificate IV in Business Big Data

Study Method Online
Provider Swinburne Open Education
Recognition Nationally Recognised Training
Start Date Enrol anytime
Swinburne Open Education

Course overview

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.

Who's It For?

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.

Job outcomes

  • Big data analyst
  • Business intelligence analyst
  • Data and insights analyst
  • Marketing and performance analyst

Want to see more job outcomes and how your future could change?

What you'll learn

  • 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

Recognitions

Nationally Recognised Training

This is a nationally approved vocational course that is recognised throughout Australia

Study method

  • Online Online info icon
    Online delivery - online course content with the exception of assessments and work placement
  • Blended Blended info icon
    Blended delivery - both online course content and partial face to face requirements
  • In-class In-class info icon
    In class delivery - predominately face to face course content conducted at a specific location
  • Virtual Virtual info icon
    Virtual Delivery - Live and interactive classroom-style learning conducted completely online

Duration study load

12–18 months (self-paced)

Delivery

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

Entry requirements

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.

Find out more about the entry requirements for this course

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 Recognised Training (NRT) qualification (BSB40120), awarded by Swinburne University of Technology (RTO 3059).

Assessment

  • 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.

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.

Core Units
BSBCRT411Apply critical thinking to work practices
BSBTEC404Use digital technologies to collaborate in a work environment
BSBTWK401Build and maintain business relationships
BSBWHS411Implement and monitor WHS policies, procedures and programs
BSBWRT411Write complex documents
BSBXCM401Apply communication strategies in the workplace
BSBPEF401Manage personal health and wellbeing
BSBPEF402Develop personal work priorities
BSBXBD402Test big data samples
BSBXBD403Analyse big data
BSBXBD404Use big data for operational decision making
BSBXBD406Present big data insights

Want more information about the subjects for this course?

Payment options

Payment Plans Available.

Find out more about the payment options for this course

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)

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!

Receive a consultation from a course expert

See student testimonials below

"I found the website easy to use and the contact I received after my enquiry was good. Not too pushy but there if I needed them." - Dimity G.
"All details and info was there and my query was answered quickly." - Soula M.
"Gave me everything I needed and someone called me, pretty much straight away." - Marlon T.

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

By submitting this enquiry I accept the "Privacy Policy" and "Terms of Use"

You are currently visiting our Australian website Training.com.au

Would you like to visit our New Zealand website instead?

Visit Training.co.nz