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

$12,000

$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

What’s the job market like for graduates—will there be entry-level roles after finishing the programme?

The traditional idea of an “entry-level” job — low responsibility, lots of hand-holding — is vanishing. In its place is a new kind of role: small team, high ownership, fast learning curve.

This suits the Mission Ready model. You’ll finish the programme having already delivered work for a real client. That shifts you from “graduate” to “junior with experience.”

MBIE’s 2023 labour market update shows persistent demand in NZ for digitally capable workers — especially those who can operate independently. So yes, the jobs are there. But they go to people who show up ready to contribute, not just ready to learn.

What equipment do I need?

You will need a working laptop or PC with the following minimum specification:

  • 16GB memory
  • 128GB SSD or HDD hard drive, with at least 10 GB free
  • camera, microphone and speaker

Power BI is a key tool used in the programme and currently works best on Windows devices. Candidates using Mac laptops may face technical issues, which can make the learning experience more challenging. To ensure a smoother experience, we recommend using a Windows laptop for this course whenever possible.​

Optionally, an additional monitor will make your life better 😊

What is the difference between Data Analyst Accelerator, Advanced Data Analyst Accelerator and Diploma

Here's a comparison of all three:

Data Analyst Accelerator (12 weeks full time/ 24 weeks part time)

  • Who it's for: Beginners looking to explore data analytics
  • What you'll learn: Descriptive analytics, Excel, Power BI, SQL, storytelling, intro to AI tools
  • Outcomes: Build foundational skills + confidence

AI-Powered Advanced Data Analyst Accelerator (10 weeks full time or 20 weeks part time)

  • Who it's for: Those with basic data knowledge or Launchpad grads
  • What you'll learn: Predictive analytics, Python, Microsoft Fabrics, Databricks, PySpark, Machine Learning
  • Outcomes: Portfolio + industry work experience (10 weeks full time included)

AI-Powered Data Analyst Diploma (32 weeks full time or 54 weeks part time)

  • Who it's for: Learners ready to go from beginner to job-ready
  • What you'll learn: Everything from both the Data Analyst Accelerator and Advanced Accelerator—full journey
  • Outcomes: Graduate with a professional portfolio + work placement  experience (10 weeks full time included

What makes the Data Analyst Accelerator unique?
  • 2025-Ready: Aligned with the most in-demand platforms and practices in today’s data teams.
  • Hands-On with Modern Analytics Stacks: Python, SQL, Azure, 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.
Who is the Data Analyst Accelerator for?

Perfect for:

  • Graduates of our Data Analytics Launchpad programme.
  • Graduates of any data analytics or business analytics programmes who would like to gain work experience to start in the tech industry
  • Professionals who would like to build their capabilities in the latest tools in the industry such as Python, predictive analytics Microsoft Azure, Microsoft Fabric, Databricks, and Pyspark.
  • Individuals who already have a basic understanding of data analytics and want to future-proof by learning advanced capabilities.
What is a NZQA Category 1 Provider?

The NZQA External Evaluation and Review (EER) is a process conducted by the New Zealand Qualifications Authority (NZQA) to assess the performance of non-university tertiary education organisations (TEOs) in New Zealand. It’s essentially an independent quality assurance checkup for institutions offering post-secondary education.

New Zealand Qualifications Authority (NZQA) awarded us as a Category 1 Provider in the 2023 External Evaluation Review (EER).

What Does This Mean for Mission Ready?

  • High-Quality Education: Achieving Category 1 status underscores Mission Ready’s commitment to delivering a high-quality education. Candidates can have confidence that they are choosing an institution that meets or exceeds rigorous educational standards.
  • Reputation and Trust: For partners and stakeholders, Mission Ready’s Category 1 rating solidifies the institution’s reputation as a trusted and reliable education provider.
  • Recognition of Excellence: This achievement is not just a feather in Mission Ready’s cap but also a recognition of excellence in providing education and training. It distinguishes Mission Ready as one of the top-tier institutions in New Zealand.
  • Access to Funding: Category 1 providers often have enhanced access to government funding and support, which can further improve the resources available to Mission Ready for offering diverse and innovative educational programmes.
  • Global Recognition: Mission Ready’s Category 1 rating in the 2023 EER is globally recognised, elevating the Mission Ready’s visibility and firmly establishing it as a leading educational institution in New Zealand.

You can read the full report here.

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

FULL TIME

PART TIME

No items found.

INTAKE OPEN
We are accepting enrolments

INTAKE DATES

INTAKE OPEN
We are accepting enrolments

Mentored work experiences is 10-weeks full time commitment.