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  1. Home
  2. Business
  3. Certificate IV in Business Big Data
Get a free course guide

Certificate IV in Business Big Data BSB40120

Study Method
Online, Virtual
Institution
Swinburne Open Education
Recognition
Nationally Recognised Training
Start Date
Enrol anytime
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Swinburne Open Education Courses

Course overview

Do you want to help businesses grow and get ahead of their competition? With big data skills you will be able to help businesses translate ever increasing and complex data into meaningful insights.

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.

Big data is the term used for large volumes of structured and unstructured data that is too large to process through traditional database and software methods. Big data is the field that works with analysing, systematically extracting information from, or otherwise manipulating these very large data sets.

With this nationally recognised course, you will gain 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.Big data skills  are needed in a broad range of industries and jobs that use big data analysis techniques in their day-to-day work.

Expand all and read more

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?
Get the course guide

What you'll learn

  • Understand mathematical and statistical concepts
  • Complete complex calculations and records numerical data
  • Identify and interpret information from big data sources
  • Preparation of big data analysis in 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

Recognition

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

Study method

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

Duration study load

  • 12 – 18 months

Entry requirements

There are no education requirements for this qualification. However;

  • Participants must be 16 years old or over
  • Successful completion of a Nationally Recognised Training qualification at Certificate III level or higher; OR
  • 2 year of relevant industry experience in a role that requires the use of written documentation and communication
Find out more about the entry requirements for this course
Get the course guide

Course features

  • World-class online learning allowing study to fit around your life
  • Balance work, family, social life and study
  • Study on any device – desktop or mobile
  • Real people helping you reach your goals

Subjects

Core Modules
M00148
Analyse big data
M00096
Apply communication strategies in the workplace
M00091
Apply critical thinking to work practices
M00093
Build and maintain business relationships
M00098
Develop and use emotional intelligence
M00094
Implement and monitor WHS policies, procedures and programs
M00097
Manage personal health and wellbeing
M00149
Present big data insights
M00147
Test big data samples
M00150
Use big data for operational decision making
And more!
Want more information about the subjects for this course?
Get the course guide

About Swinburne Open Education

We’re focused on helping more and more Australians achieve their career aspirations and ensure they’re prepared for future workforce needs.

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)

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?
Get the course guide

Recognition

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

Study method

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

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!

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