Flexible study
Learn from industry experts
Certificate
Beginner friendly

Data Analyst accelerator

12 weeks

Start your journey into data analysis with the Data Analyst Accelerator. Learn Excel, Power BI, and SQL while using AI tools to explore, analyse, and present data confidently—no experience needed.

About This Programme

Curious about the world of data but not sure where to start?

The Data Analyst Accelerator is your entry point in to one of the fastest-growing fields in tech as an AI Powered Data Analyst. In this programme, you’ll build practical skills in data analysis, visualisation, and storytelling—using the most in-demand tools like Excel, Power BI, and SQL.

You’ll learn how to clean, transform, explore, and visualise data clearly, while also discovering how AI tools can support and accelerate your analysis. No tech or math background required—just bring your curiosity and a willingness to learn.

Whether you’re looking to upskill, explore a new career path, or prepare for further training, this Launchpad will give you the confidence and foundation to work with data in any industry.

Take it to the next level with our AI-Powered Advanced Data Analyst Accelerator or Diploma, where you gain real-world experience and mentorship.

Get an Industry-Recognised Micro-Credential

1. Data Analyst Accelerator (Micro-credential): Certificate in Technology Product Development Essentials (Level 4) (Micro-credential)

What You'll Learn

Phase 1: Data Analyst Accelerator (12 Weeks)

Build your foundation in data and discover the power of insight.
Start your journey by learning the core skills of a data analyst—from data wrangling and visualisation to communicating insights through compelling stories. You’ll explore tools like Excel, Power BI, and SQL, while also being introduced to AI tools that support faster, smarter analysis.

Skills You’ll Gain

  • 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.

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TOOLS YOU'LL LEARN

SQL
Visualisation
Power BI
ChatGPT
Gemini-AI
AI

Find Your Schedule

Duration

12
 weeks

Schedule

12 weeks – Full time (30 - 35 hours weekly):

Live Drop-In Session: Every Wednesday at 4:00pm - 5:00pm AEST

Extramural candidates can access the programme online, any time.

24 weeks – Part time (15 -17.5 hours weekly):

Live Drop-In Session: Every Wednesday at 4:00pm - 5:00pm AEST

Extramural candidates can access the programme online, any time.

Full-Time

28
Apr
2026
Coach led
Live sessions
13
Jul
2026
Coach led
Live sessions
12
Oct
2026
Coach led
Live sessions

Part-Time

07
Jul
2026
Coach led
Live sessions

INVEST IN YOUR FUTURE

$6,000

ZERO FEES

With AI-Ready Scholarship

AI-Ready Scholarships
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 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 this Data Analyst Programme unique?
  • 2025-Ready Content: Fully updated to reflect current tools and business reporting practices.
  • Built-In AI Tools Practice: Learn how AI can make your data workflow faster and smarter.
  • Designed for Business and Practical Reporting Needs: You’ll practise using data in ways that support day-to-day decision-making in real business contexts
  • Learn from Industry Professionals: Get insights from experienced data analysts.
Who is this Data Analytics Programme 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.

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 are the entry requirements?

Applicants must have the legal right to study in New Zealand and must be a Domestic Student to apply.

All applicants must be able to meet the NCEA Level 1 Literacy and Numeracy requirements.

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

  • New Zealand 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.
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.

FULL TIME

PART TIME

24 weeks (15 - 17.5 hours weekly)

24 weeks (15 - 17.5 hours weekly)

INTAKE OPEN
We are accepting enrolments

INTAKE DATES

INTAKE OPEN
We are accepting enrolments

Mentored work experiences is 10-weeks full time commitment.