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, Power BI, and AI tools, then gain real-world experience through a 10-week mentored work placement.

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

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

The AI-Powered Data Analytics Accelerator is designed for learners who already have a basic understanding of data and want to become job-ready data analysts with advanced, AI-enhanced capabilities.

Over 20 weeks, you’ll dive deep into Python, Power BI, and SQL to work with large, real-world datasets and solve practical business problems. You'll also learn how to integrate AI tools to automate workflows, uncover insights faster, and deliver data stories that drive decision-making.

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.

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

Gain certifications in

  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)

Skills you'll gain

  • 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.

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

INTAKE OPEN
We are accepting enrolments

Mentored work experiences is 10-weeks full time commitment.

SCHEDULE & FEES

Flexible Learning

Online blended

Full-time dates

Part-time dates

No intakes planned
30
Jun
2025
Coach led
27
Oct
2025
Coach led

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:
Mar 26, 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.

Online blended

Full-time dates

Part-time dates

No intakes planned

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:
Mar 26, 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:
Mar 26, 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
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