Qualification: BSB40120 Certificate IV in Business (Big Data)
Duration: 12 - 18 months
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.
Course code: BSB40120
Delivery mode: Online
Course duration: 12- 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.
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.
Big data analyst
Business intelligence analyst
Data and insights analyst
Marketing and performance analyst.
Graduates of the Certificate IV in Business course started or expanded a business, have a new job, got more highly skilled work, or received a promotion or higher pay.
The middle of the range salary earned by course graduates starting their first full-time job after graduating.
Graduates of the Certificate IV in Business course are most often employed in clerical and administrative jobs.
Graduates of the Certificate IV in Business course started or expanded a business, have a new job, got more highly skilled work, or received a promotion or higher pay.
The middle of the range salary earned by course graduates starting their first full-time job after graduating.
Graduates of the Certificate IV in Business course are most often employed in clerical and administrative jobs.
Source: Career outcome information from My Skill.
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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
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.
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.
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.
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.
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.
This unit describes the skills and knowledge required to plan, draft and finalise complex documents.
This unit describes the skills and knowledge required to facilitate and apply communication strategies in the workplace within any industry.
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).
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.
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.
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.
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.
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.
There are no formal requirements for this Cert IV big data qualification. However, participants must be 18 years' old or over.
This course is not available to International students.
The Swinburne Open modern online learning platform has been designed so that you can study online anywhere, anytime. You will need to meet the following IT requirements to use our platform for this Certificate IV course:
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
* Students using a mobile or tablet will need to upload documents from a laptop or desktop or have a Dropbox account.
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.
Q. How can I access trainer support?
You can access our dedicated trainer support using your choice of communication – online chat, email, phone call, or video chat.
Q. Do you help me find a job once I graduate?
At Swinburne Open Education, it’s not only about qualifications. We know you want to get a good job when you finish your studies, and our Careers Team will help you with valuable job-hunting skills such as CV writing and interview techniques. We are here to support you every step on the way. Our job finishes when yours starts.
Q. Can I pause my study if something in my life changes?
Self-paced learning gives you the flexibility to fit study around your life. We understand life doesn’t always go to plan. You can apply for extensions for up to 6 months (3 months per extension) if needed. See more details in our full FAQs.
Q. What if the course end up not being right for me?
If you are less than half way through your enrolment period and it’s not working out, you can opt-out of the second half and reduce your course fee liability to 50% of the total course fee. Refer to the Student Agreement for full terms and conditions.
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