No Prior Data Experience? No Problem!

Over 24 weeks, you’ll master essential data analysis techniques, tools, and concepts used by industry leaders.

What You’ll Learn:

1. Introduction to Data Analytics

Dive into the fundamentals of data analytics, learning about data types, sources, and pre-processing techniques. Gain hands-on experience with Excel and SQL for data manipulation.

2. Data Visualisation and Exploration

‍Master the art of data visualisation for effective communication and exploration. Explore various visualisation libraries and practice creating impactful visualisations.

3. Statistical Analysis and Hypothesis Testing

‍Delve into statistical analysis techniques and hypothesis testing, essential for deriving meaningful insights from data and making data-driven decisions.

4. Analytics with Generative AI

Learn the skills to apply generative AI in data analytics and be aware of the benefits and limitations

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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, you’ll develop advanced data modelling and business intelligence expertise to deliver impactful, data-driven solutions.

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.

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Micro-Credentials Included

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

Certified 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.

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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