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  1. Home
  2. Data Analytics
  3. Data Analytics and Advanced Business Intelligence Diploma
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Data Analytics and Advanced Business Intelligence Diploma

Study Method
Blended, Online
Provider
Mission Ready HQ
Start Date
Part time - 5 May, 6 May, 13 October, 14 October
Get A Free Course Guide
Mission Ready HQ Courses
  • Payment is required for this course. Flexible options and “Pay when you successfully complete” may be available. Enquire now for more information.

Course Overview

Ready to build a complete skillset in data analytics, step-by-step?

Whether you’re just starting or looking to grow into a more technical role, this programme gives you the hands-on skills and confidence to extract insights, automate workflows, and support smart business decisions. Combine the power of the Data Analytics Launchpad with the Data Analytics Accelerator in this structured 32 week Diploma.

You’ll build a solid foundation in data analysis, storytelling, and dashboarding using tools like Excel, SQL, Power BI. You will then move into predictive analytics and using professional tools like Python, Databricks, and Microsoft Fabric. You’ll explore how generative AI tools can supercharge your analysis, automate tasks, and help you uncover insights more efficiently. You will even explore building machine learning models using datasets.

Apply your skills through hands-on projects and real-world datasets, then complete a 10-week mentored industry placement to gain practical experience and build your confidence.

Whether you’re looking to break into tech or upskill in a growing field, this programme prepares you for high-demand roles where data meets decision-making—and where AI gives you a competitive edge.

Read Less

Who's It For?

Perfect for:

  • Career changers looking to enter a data-related role or gain practical analytics knowledge to get ahead
  • Recent graduates or school leavers wanting to gain in-demand data skills
  • Business owners and operators who want to upskill with practical reporting and analytics tools
  • Anyone interested to learn data analytics using the most in-demand tools

No previous experience in tech or data is required—just your curiosity and willingness to learn.

Job Outcomes

Potential career outcomes could include:

  • Junior Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • Insights Analyst
  • Customer or Marketing Analyst
  • Graduate Data Associate
Want to see more job outcomes and how your future could change?
Get the Course Guide

What You'll Learn

  • Data Cleaning and Formatting: Work with messy data and prepare it for analysis using Excel
  • Business Metrics and Trends: Learn to calculate, interpret and communicate key performance indicators
  • SQL for Data Extraction: Write queries to pull meaningful insights from databases
  • Power BI Dashboards: Design interactive dashboards to visualise trends and support decision making
  • Storytelling with Data: Communicate insights clearly using charts, visuals, and narrative
  • ETL Process: Understand how to Extract, Transform and Load data from multiple sources
  • Excel Functions & Automation: Use formulas, pivot tables, Power Query, and more to work efficiently
  • Reporting Best Practices: Learn how to present data that makes sense to business stakeholders
  • AI-Powered Productivity: Use AI tools to assist with analysis and data tasks

Study Method

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

Duration and Study Load

  • 32 weeks

Delivery

  • Learn blended online, full- or part-time

Entry Requirements

  • Applicants must have the legal right to work and study in Australia (open to Australian residents and citizens);
  • Have completed
    • Australian Core Skills Framework (ACSF) Level 3 or Year 10 Literacy and numeracy outcomes equivalent
    • or the Certificate in Tech Career Exploration & Development (Level 3) Micro-credential,
    • or provide evidence of an equivalent or higher qualification and/or experience.

In Australia, we accept the following as the minimum entry requirement: Australian Core Skills Framework (ACSF) Level 3 and Year 10 Literacy and numeracy outcomes.

If English is not your first language, you must provide:

  • Australian University Entrance, or
  • Overall Academic IELTS 5.5 with no individual band score lower than 5.0 (achieved in one test completed in the last two years), or
  • Acceptable alternative evidence of the required IELTS
Find out more about the entry requirements for this course
Get the Course Guide

Course Features

  • 2025-Ready: Aligned with the most in-demand platforms and practices in today’s data teams.
  • Hands-On with Modern Analytics Stacks: Python, SQL, Excel, Microsoft Fabric, Databricks, PySpark.
  • AI at the Centre: Learn to build with and for AI — Learn about Machine Learning while using AI to assist analysis.
  • Real Project Delivery: Gain experience solving real business problems with real data.
  • Industry-Led Training: Train with experienced data analysts who bring current, real-world insights into every session
  • Real-World Experience: Gain hands-on, mentored experience through actual industry projects, giving you confidence and credibility as you enter the Data Analytics field
  • Career Readiness Focus: Receive personalised support with your CV guidance, and mock interviews to ensure you stand out to employers.
  • Alumni network
  • Create a job-ready portfolio
  • Fees free via Studylink
  • Learn from industry experts
  • Live classes
  • Project based
  • Weekly payment options
  • 10-weeks mentored work experience

Testimonials

  • "If you're thinking about this programme, I can’t recommend it enough. The structure lets you learn at your own pace, and the support is fantastic."
    Surbhi Gupta

Subjects

Course Units
Phase 1: Data Analytics Fundamentals
Phase 2: Advanced Data Analysis + Business Intelligence Tools
Phase 3: Mentored Work Experience
Want more information about the subjects for this course?
Get the Course Guide

Payment Options

Please enquire for information about the price of the course and payment options available.

Why is the price not displayed here?

The price of the course may vary for a number of reasons, including but not limited to:

  • Whether you pay up front or via a payment plan
  • Whether Government funding is available
  • Your location
  • Study method and duration

Complete an enquiry to discuss the price of the course and payment options with a course advisor.

About Mission Ready HQ

Mission Ready is where raw potential meets real-world tech opportunity.

We’re on a mission to help people launch their tech careers—faster, smarter, and with real-world experience that sets them apart.

As a leading tech career accelerator, we specialise in getting aspiring software developers, business analysts, UX designers, and data analysts job ready—not just qualification ready. Our programs are immersive, mentor-led, and designed to mirror the real tech workplace from day one.

Forget passive learning—at Mission Ready, you’ll work on real projects with real clients, guided by industry professionals who’ve been there, done that, and want to help you get there too.

Our unique blend of hands-on experience, career coaching, and industry connections means our graduates don’t just gain skills—they gain momentum. Whether you’re switching careers, re-entering the workforce, or just starting out, Mission Ready is built for you: the doers, the thinkers, the problem-solvers, and the quietly ambitious.

Ready to get your career off the launchpad? Let’s get you Mission Ready.

Job Outcomes

Potential career outcomes could include:

  • Junior Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • Insights Analyst
  • Customer or Marketing Analyst
  • Graduate Data Associate
Want to see more job outcomes and how your future could change?
Get the Course Guide

Study Method

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

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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