Master data storytelling, professional analytics skills and tools,and progress into the latest big data platforms — then apply your skills in a real industry placement.
Ready to turn raw data into actionable insights? Ready to build a complete skillset in data analytics, step-by-step?
Combine the power of the Data Analytics Accelerator with the Advanced Data Analytics Accelerator in this structured 32 week Diploma. This programme equips you with the skills to analyse, visualise, and interpret data for impactful decision-making. With a mix of technical training and real-world experience, you’ll be job-ready—whether you’re pivoting into tech or advancing your career. No prior experience? No problem! We teach you everything you need to succeed.
Why Choose This Programme?
Data is the backbone of every successful organisation. Our unique combination of data analytics and business intelligence training sets you apart in a competitive job market. With in-demand skills and experience, you’ll be equipped to contribute from day one—bridging technical expertise with business strategy.
Remember, Mission Ready micro-credentials are stackable so you can start with the Data Analytics Accelerator, and progress at your pace towards the diploma.
AI-Powered Data Analyst DIPLOMA: Diploma in Digital Technology Development and Design (Level 5, 120 Credits)
This Diploma is delivered in three connected 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.
No Prior Data Experience? No Problem!
Over 12 weeks (full time) or 24 weeks (part time), you’ll master essential data analysis techniques, tools, and concepts used by industry leaders.
What You’ll Learn:
Transform Raw Data into Strategic Insights
Over 10 weeks (full time) or 20 weeks (part time), you’ll develop advanced data modelling and business intelligence expertise to deliver impactful, data-driven solutions. 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 Databricks. 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
Gain Industry Experience That Sets You Apart
The mentored work placement is a vital part of the Data Analyst Diploma, giving you the chance to apply your learning in a real-world environment. This is an Invite Only Real-World Experience. Selected candidates will be invited to this mentored work experience. This phase is only available full time.
What You’ll Do During Your Placement:
Full-time
Component 1: Wednesday, 4 pm to 5 pm AEST
Component 2: Wednesday, 4 pm to 5 pm AEST
Component 3: Normal work hrs as agreed with Host Company
Part-time Programme:
Component 1: Wednesday, 4 pm to 5 pm AEST
Component 2: Wednesday, 4 pm to 5 pm AEST
Component 3: Normal work hrs as agreed with Host Company
Mission Ready Support
Flexible Payment Plans
Bring a friend referral
Refer a friend who enrols and you’ll both get $250 off your fees.
In Australia, we accept the following as the minimum entry requirement: Australian Core Skills Framework (ACSF) Level 3 and Year 10 Literacy and numeracy outcomes.
If English is not your first language, you must provide:
Yes — but not through passive introductions. We:
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.
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.
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.
You may need to incur the following costs:
Note: Fees and details are subject to change based on government policies and other factors.
The programme is tailored for beginners eager to kickstart a tech career.
Whether you’re a school leaver, seeking a second chance at learning, contemplating a career shift, or looking to upgrade your skills for the booming tech sector, this program is your gateway.
Especially if you’re considering alternatives to university, this course offers a fast track to high-wage roles in the tech industry without the traditional tertiary education route.