Certificate IV in Business Big Data
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.
Course code: BSB40120
Delivery mode: Online
Course duration: 18 months
Qualification: Certificate IV
Eligibility: This course is not available to international students
Nationally recognised: Yes
Awarded by: Swinburne University of Technology
Assessments
Online quizzes, including multiple choice and short answer questions
Portfolio of evidence
Written reports
Case studies
Video and audio role plays and demonstrations.
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 skills are needed in a broad range of industries and jobs that use big data analysis techniques in their day-to-day work. Study big data online and earn the nationally recognised (BSB40120) Cert. IV in Business (Big Data) qualification.
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 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. Enrol now to study big data online. Work towards your Certificate IV with Swinburne Open Education.
This course is not available to International students.
Skills 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.
Your career opportunities
Big data analyst
Business intelligence analyst
Data and insights analyst
Marketing and performance analyst.
Start your data analysis career
Source: Career outcome information from My Skills (Sep 2024).
Why study Certificate IV in Business Big Data online
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.
Learn to identify trends and relationships within big data, establish data acceptability, as well as form recommendations based on the analysis, and report on analysis findings.
Our flexible online study allows you to continue with your current role while you study.
Study online with our world-class learning platform
Designed and delivered online so you can learn anywhere, anytime
Study on any device - desktop, tablet or mobile
Learn through regular trainer-lead online sessions and native content
Engage with your learning community through online forums and messages
Download your free online course guide
Enter your details and the Swinburne Open team will send you a free course guide with the info to get started. An Enrolment Consultant will be in touch to discuss your options and answer any questions you may have.
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Online course modules
Once you have enrolled in this online course, you can access our online platform and start with the first module. You will need to complete a module and then the next module becomes available to you.
This big data course contains 12 online modules, which have been designed to cover the following units of competency, including 6 core units and 6 elective units.
Expand units below, to get an understanding of topics and objectives.
BSBCRT411 Apply critical thinking to work practices
This unit describes the skills and knowledge required to use advanced-level critical thinking skills in a workplace context. This includes using methods of analysis, synthesis and evaluation.
BSBTEC404 Use digital technologies to collaborate in a work environment
This unit describes the skills and knowledge required to understand the fundamentals of using digital technologies to collaborate in a workplace context, including working as part of a remote team. It involves undertaking a basic review of organisational processes to identify opportunities for using digital technologies to complete work tasks more efficiently and effectively.
BSBTWK401 Build and maintain business relationships
This unit describes the skills and knowledge required to establish, develop and maintain effective work relationships and networks through relationship building and negotiation skills required by workers. These workers may be within an organisation as well as freelance or contract workers.
BSBWHS411 Implement and monitor WHS policies, procedures and programs
This unit describes the skills and knowledge required to implement and monitor an organisation’s work health and safety (WHS) policies, procedures and programs in the relevant work area in order to meet legislative requirements.
BSBWRT411 Write complex documents
This unit describes the skills and knowledge required to plan, draft and finalise complex documents.
BSBXCM401 Apply communication strategies in the workplace
This unit describes the skills and knowledge required to facilitate and apply communication strategies in the workplace within any industry.
BSBPEF401 Manage personal health and wellbeing
This unit describes the skills and knowledge required to identify signs and sources of strain on personal health and wellbeing (both physical and mental) within job roles and according to key performance indicators (KPIs).
BSBPEF402 Develop personal work priorities
This unit describes the skills and knowledge required to plan and prioritise own work tasks. It also addresses the skills and knowledge to monitor and obtain feedback on personal work performance.
BSBXBD402 Test big data samples
This unit describes the skills and knowledge required to test captured transactional and non-transactional big data samples prior to using them in the organisation. It involves assembling or obtaining raw big data, processing that big data, and testing it in a way that enables it to be used more broadly within the organisation.
BSBXBD403 Analyse big data
This unit describes the skills and knowledge required to analyse transactional and non-transactional big data in order to provide insights that are used in an organisation. It involves identifying trends and relationships within big data, and establishing data acceptability. It also involves forming recommendations based on the analysis, and reporting on analysis findings.
BSBXBD404 Use big data for operational decision making
This unit describes the skills and knowledge required to analyse, interpret and apply insights from big data when making operational decisions. It involves applying skills in decision making and techniques for using big data in day-to-day work.
BSBXBD406 Present big data insights
This unit describes the skills and knowledge required to present insights relating to transactional and non-transactional big data in a format that is appropriate and accessible to the work area requesting it.
Course requirements
Online study FAQs
We understand you need to fit study around your busy life. Our online learning platform is designed with this in mind, so you can study on any device, anywhere, anytime. Here are answers to some frequently asked questions.
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