Flexible study
Learn from industry experts
Beginner friendly
Certificate

AI-Powered Advanced Data Analyst accelerator

10 weeks

Advance your data career with the AI-Powered Advanced Data Analytics Accelerator. Master Microsoft Fabric, Python, predictive analytics, cloud and AI tools, then gain real-world experience through a 10-week mentored work placement.

About This Programme

Ready to take your data skills to the next level—and apply them in the real world?

The AI-Powered Data Advanced Analytics Accelerator takes your data skills to the next level. In this programme, you’ll go beyond reporting to uncover patterns, build forecasts, and extract insights from large-scale datasets using tools likePython, PySpark, and Microsoft Fabric. You’ll also explore building the foundations for machine learning using data.

The final 10 weeks are spent in a mentored industry placement, where you'll apply your skills on real projects, gain confidence, and build a professional portfolio that gets noticed by employers.

This is a future-focused pathway for those looking to progress from reporting support into full analytics roles – even have a glimpse into building AI using data science.

Whether you’re upskilling, career-switching, or levelling up from our Launchpad, this accelerator is your fast track into the world ofAI-powered data analytics.

Get Industry-Recognised Credentials:

  1. AI-Powered Advanced Data Analyst (Micro-Credential): Digital Technology Product Solutions (NZQA Level 5 Micro-credential, 40 credits)
  2. Professional AI Powered Data Analyst (Micro-Credential): Applied Digital Technology Product Solutions (NZQA Level 6 Micro-credential, 40 credits)

The programme is delivered in two phases.  On completion of a phase, you are going to be awarded a micro-credential to recognise your achievements and progress. Each phase is by invite only.

What You'll Learn

Phase 1: AI-Powered Advanced Data Analyst Accelerator (10 Weeks)

Go beyond the basics and learn advanced data analytics skills and tools, including machine learning.


Level up with advanced analytics skills using professional tools such as Python, Microsoft Azure, Microsoft Fabrics and Data bricks. Learn how to perform predictive analysis, work with real-world datasets, solve business problems using data, and even explore machine learning.  You’ll complete projects that demonstrate your ability to lead the end-to-end analytics process— from data wrangling to strategic insight.

Skills You’ll Gain

  • Python Basics: Learn core Python programming to manipulate data and automate tasks.
  • Data Wrangling with Pandas: Clean, structure, and prepare complex datasets for analysis.
  • Exploratory Data Analysis (EDA): Uncover patterns and trends through visual and statistical techniques.
  • Predictive Analytics & Regression: Understand how to build models that forecast future outcomes.
  • Time Series Forecasting: Analyse patterns in historical data to make accurate future predictions.
  • SQL in Azure: Query enterprise-level databases using Python and SQL in the cloud.
  • Microsoft Fabric & Data bricks: Get hands-on with two of the most in-demand analytics platforms.
  • Big Data with PySpark: Learn how to process and analyse massive datasets.
  • Applied AI Tools: Use generative AI to support data analysis, summarisation and reporting.
  • Machine learning: Learn the fundamentals of building AI from datasets

Phase 2: Professional Mentored Work Placement (10 Weeks)

Gain real-world experience and confidence in a professional analytics environment.
Work on real analytics challenges with one of our industry partners. Apply your technical and storytelling skills, receive mentorship from professionals, and gain the experience needed to land your first role in data analytics.

Skills You’ll Gain
• Work with live business data in a real workplace setting
• Apply analytics tools and methods to solve practical problems
• Collaborate with teams using Agile methods
• Communicate findings clearly to technical and non-technical stakeholders
• Receive regular feedback and mentorship from experienced data professionals
• Strengthen your professional portfolio with real project outcomes
• Build workplace confidence and prepare for job interviews

TOOLS YOU'LL LEARN

Microsoft Fabric
SQL
Visualisation
Power BI
Python
ChatGPT
Gemini-AI
AI
Kanban

Find Your Schedule

Schedule

Full-time

10 weeks

(30 - 35 hours weekly)
Wednesday: 4:00pm - 5:00pm AEST

Part-time

20 weeks

(15 - 17.5 hours weekly)
Wednesday: 4:00pm - 5:00pm AEST

Full-Time

11
May
2026
Coach led
Live sessions
27
Jul
2026
Coach led
Live sessions
12
Oct
2026
Coach led
Live sessions

Part-Time

04
Aug
2026
Coach led
Live sessions

INVEST IN YOUR FUTURE

AUD 

$9,000

AUD 

$9,000

  With AI-Ready Scholarship

ZERO FEES Upfront available
Flexible Payment plans
FUNDING SUPPORT AVAILABLE

Entry criteria
  • 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.

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

Learn from industry experts
Weekly payment options
Project based
Internationally recognised Certificate
Alumni network
Live classes

FAQ

Do you connect us with employers afterwards?

Yes — but not through passive introductions. We:

  • Host employer showcases
  • Offer 1:1 coaching on applications and interviews
  • Tap into our industry network for job leads and recommendations
  • Provide ongoing alumni support long after the course ends

But here’s the truth: we don’t “place” you — we prepare you, position you, and support you. Getting the job is a shared effort.

Do your courses include portfolio-worthy projects?

Absolutely — by design. From week one, you’ll be building things that matter: prototypes, pitch decks, user journeys, apps, dashboards. These aren’t isolated exercises; they’re tied to real briefs and audiences.

We coach you to reflect on each project, refine it, and document the process — not just the output. A good portfolio doesn’t just say what you built. It shows how you think.

What is a mentored work experience?

Mentored work experiences are structured programmes where you engage in practical work activities under the guidance and supervision of experienced mentors. These experiences are designed to provide real-world exposure, skills development, and professional growth within a specific field or industry.

Mission Ready works with 300+ industry partners to provide mentored work experiences.

Participants work on actual projects or tasks that contribute to their understanding of the industry, allowing them to apply theoretical knowledge in practical settings. In addition to technical skills, mentored work experiences develop communication and teamwork skills that are so important in the modern work place.

Our facilitators match participants to mentors to provide you with valuable feedback, insights, and referrals.

The mentors, are experienced professionals who have agreed to provide guidance, feedback, and support. They help mentees navigate challenges, understand industry norms, and develop professionally.

These experiences often enable participants to connect with professionals in their field, expanding their professional network and opening doors to future job opportunities.

For many, these experiences can lead to employment opportunities within the host organisation or with others in the industry, based on the skills and relationships developed during the program.

Mentored work experiences are part of our Level 6 programmes.

A selection of our industry partners who provide mentored work experiences to you
Are there any additional costs?

You may need to incur the following costs:

  • Travel, accommodation, and food during classes
  • Broadband internet access
  • A computer or laptop. (Loan devices may be available in special cases)

Note: Fees and details are subject to change based on government policies and other factors.