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:

• 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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Micro-Credentials Included

Earn the following NZQA-recognised Micro-Credential on successful completion of the Diploma:  

Certified Data Analytics Micro-credential: Certificate in Technology Product Development Fundamentals

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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

• 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 & Databricks: 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

Earn the following NZQA-recognised Micro-Credential on successful completion of Phase 2 of the Diploma:  

AI Powered Data Analyst Micro-credential: Certificate in Digital Technology Product Solutions (Data Analytics Accelerator)

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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:

• Solve Real-World Challenges: Collaborate with teams to tackle complex business problems.

• Work on Live Data Projects: Develop dashboards, reports, and data models that directly impact business decisions.

• Learn from Experts: Gain valuable insights and mentorship from experienced data professionals.

Micro-Credentials Included

Earn the following NZQA-recognised Micro-Credential on successful completion of Phase 3 of the Diploma:  

Professional Data Analyst Micro-credential: Certificate in Applied Digital Technology Product Solutions

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