Introduction to Data analytics
Do statistics give you a buzz? Are you more interested in numbers than the average Joe? A future in data and analytics could be the right path for you.
Statistics tell us much more ‘how much’ or ‘how many’. A successful data scientist understands that statistics tell stories. With these skills, analytics professionals can help a range of organisations, across various industries.
Discover data analytics courses
Online data analytics degrees
Online data analytics subjects and short courses
Data analytics study FAQs
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When you’ve made your choice, click ‘Apply now’ on the relevant course page and follow the prompts to begin your enrolment. We’ll ask you to supply some supporting documentation, including proof of your identity, your tax file number, and a unique student identifier (USI) during this process.
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You can also take a look at our online self-service enrolling instructions.
Before starting an enrolment, it’s important to read the entry requirements for your chosen course to ensure that you’re eligible to apply. If you don’t quite meet the requirements, we can help you find a pathway into your course through open-entry subjects, which anyone can study. Chat with us to find out more.
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We have a unique open-door policy that makes it possible for everyone to enrol in university study, no matter their academic history. If you don’t meet the entry requirements for a degree, we’ll help you get in through single undergraduate subjects and transition into a qualification from there.
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- You can enrol without entry requirements
What is data analytics?
The end result? Numbers that tell organisations and people what they need to do next for the outcome they desire—whether that be to make sales, save lives, increase clicks and more.
Learn to use data to:
- Answer questions and unlock opportunities.
- Understand what happened in the past.
- Predict future actions and outcomes.
Topics covered in a data analytics course:
- Big data - A large volume of data that calls for specific tools to unpack it.
- Data mining - Discovering patterns in big data that reveal insights.
- Data visualisation - Graphics that allows others to understand the insights that data analysts see.
- Predictive analytics - Using data to make predictions about the future.
Find a data analytics career in:
- FMCG (Fast-moving consumer goods)
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