5 May intake closing soon ....

5 May intake closing soon ....

5 May intake closing soon ....

5 May intake closing soon ....

5 May intake closing soon ....

Become A

BecomE an AI-Powered Data Analyst

TAKE FLIGHT AS A JOB READY AI POWERED DATA ANALYST in 20-weeks

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

Apply now
Ask us anything
Apply for Scholarship now

PAY ON SUCCESS

Don’t let fees hold you back from launching your tech career.

With our new Pay on Success offer, you’ll only start paying once you’ve successfully completed. Get trained now, and repay your course fees over 12 months.

This offer is open to selected micro-credential candidates who are committed, motivated, and ready to make the leap.

Apply now. Back yourself. We’ll back you too.

‍

Start
Flexible study
Flexible study
Full-time or part-time
Learn from industry experts
Learn from industry experts
Beginner friendly
Beginner friendly
NZQA Level 5 & 6 Certificate
Certificate
Level 5 & 6 micro-credential
OVERVIEW
YOUR SKILLS
YOUR TRAINERS
FEES &  SCHEDULE
SUCCESS STORIES
FAQs

OVERVIEW

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

The AI-Powered Data 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 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.


Skills you'll gain

Phase 1: AI-Powered Data Analyst Accelerator (10 Weeks + Industry Project)

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

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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.

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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

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Micro-credentials included
AI-Powered Data Analyst (Micro-Credential)
Level  
5
40
 Credits
Course contents

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

Micro-credentials included
Professional AI Powered Data Analyst (Micro-Credential)
Level  
6
40
 Credits
Course contents
  • Master Python for Data Analytics: Learn Python programming, using essential libraries like Pandas, Matplotlib, and Seaborn for effective data manipulation and analysis.
  • Build Predictive Models: Implement and evaluate predictive models using Python libraries like Scikit-learn, mastering techniques such as regression, decision trees, and clustering.
  • Explore Machine Learning: Gain knowledge in machine learning, understanding key concepts, and applying algorithms for supervised and unsupervised learning
  • Understand Popular Data Architectures: Learn the most popular data architectures, including Data Lakes and Data Warehouses, and learn to leverage popular tools on Azure.
  • Apply Agile Practices: Apply Agile and Design Thinking principles and practices in data analytics. Explore Scrum and Kanban frameworks, and user story mapping.  Cap off the programme with a hands-on Agile data analytics project, putting your newfound skills into practice.
  • Personal Branding and Job Search: Learn best practices to present yourself online, on CV, and in interviews.
  • Invite Only Real-World Experience: Apply your skills in a 10-week work experience with a real project and company, gaining valuable industry experience and practical insights with support by a mentor. Selected candidates will be invited to this mentored work experience.

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‍

SQL
Visualisation
Power BI
Python
ChatGPT
Gemini-AI
AI
Kanban
The tech industry is faced with a growing skills shortage and the traditional education pathways would not solve this ... which is why we created New Zealand's first tech career accelerator
DIANA SHARMA
Co-founder & Mission Director
2025 Feb Graduation at Google

FULL TIME

INTAKE DATES

No intakes planned

PART TIME

No items found.

INTAKE OPEN
We are accepting enrolments

INTAKE DATES

27
Oct
2025

INTAKE OPEN
We are accepting enrolments

Mentored work experiences is 10-weeks full time commitment.

SCHEDULE & FEES

Flexible Learning

New Zealand
New Zealand
Australia
Australia

Training options

Coach led: You have the flexibility to access online training content at any time, with a coach guiding you and available to answer questions online.

Live sessions: A live trainer takes you through the launchpad, with set times for training and missions.

‍

Full-time dates

Part-time dates

No intakes planned
27
Oct
2025
Coach led
Live sessions

Time commitment

Fees *(GST inclusive)
NZD
$6,640
$382
/week
Apply now
Payment options
‍
  1. Pay in 2 instalments of $3,320 per component; or‍
  2. Weekly payment options available to approved candidates. 20-week payment period.

* Fees subject to change

Updated:
May 21, 2025

Entry criteria

  1. Applicants must have the legal right to study in New Zealand and either:
    1. Have completed the Level 4 Certificate in Technology Product Development Training Essentials (Level 4) or;
    2. provide evidence of an equivalent qualification and/or experience.
  2. Meet the NCEA Level 1 Literacy and Numeracy standards.
  3. If English isn’t your first language, provide proof of proficiency.
  4. All applicants must have a level of English sufficient to be able to study at this level.
  5. Applications will be reviewed by Mission Ready to ensure applicants have the foundation skills required for success.
  6. Unsuccessful applicants will be referred to an appropriate alternative course and invited to apply again once they have completed that course.
  7. Please note the entry requirement is important as learners need to have certain skills / knowledge before they can specialise in a specific area.

‍

Training options

Coach led: You have the flexibility to access online training content at any time, with a coach guiding you and available to answer questions online.

Live sessions: A live trainer takes you through the launchpad, with set times for training and missions.

‍

Full-time dates

Part-time dates

No intakes planned
27
Oct
2025

Time commitment

Introductory plan * (No GST applies)
AUD
$9,000
$450
/week
Full price:
$12,000
Apply now
Payment options
‍
  1. Pay in 2 instalments of $4,500 per component; or‍
  2. Weekly payment available to approved candidates. 20-week payment period.

The introductory pricing is available till 30 May 2025

‍

Updated:
May 21, 2025

* Only New Zealand domestic students receive partial government funding, which helps lower their fees. This support is not available to Australian students, so their fees are higher.

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:

Updated:
May 21, 2025

EDUCATION TEAM

Learn from the Best

Mission Ready HQ is an award winning education provider.  Learn more

ALAN KAN

ALAN KAN

Co-founder & Innovation Director
JOSE VILARDY

JOSE VILARDY

Data Analytics Trainer
SOPHIE YAN

SOPHIE YAN

Assistant Trainer - Data Analyst

STUDENT SUCCESS

Hear from our Graduates

Industry leaders value our graduates. Our alumni have gone on to work at companies like Datacom, Cin7, One NZ and PWC.

More stories
Surbhi Gupta
→
The programme has been an incredible learning experience. I’ve always enjoyed working with numbers and databases, and this course helped me develop a deeper understanding of tools like Excel and MySQL. I’m now excited about the next level and continuing my journey in data analysis. The flexibility of the programme was a game-changer for me.

FAQ

Your Questions Answered

Have a read of our brochure and reach out to our friendly mission ready team to ask questions directly.

Download 2025 Brochure
What is the difference between Data Analytics Launchpad, AI Powered Data Analyst Accelerator and the AI Powered Data Analyst Diploma

Here's a comparison of all three:

Data Analytics Launchpad (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 Data Analyst Accelerator (20 weeks full time or 30 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 Analytics Launchpad and Accelerator above—full journey
  • Outcomes: Graduate with a professional portfolio + work placement  experience (10 weeks full time included

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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 200+ 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