You’ll start with two weeks of Orientation, where you’ll get comfortable with the online learning platform, connect with fellow learners, and plan your studies. You’ll also meet your Success Manager and Career Coach, who will help you personalise your plan of attack to achieve your version of success.

Build the analytical mindset and tool fluency to turn data into business decisions. Working across Excel, Power BI and SQL, including natural language querying against cloud data warehouses, you'll apply each technique to a real-world business scenario from week one, learning to use and critically verify the AI-powered features built into these tools as you go.

What you'll produce: An interactive analytics dashboard built around a real business scenario, incorporating Excel analysis, Power BI visualisations, SQL-based insights with natural language querying, a written report and a recorded presentation of key findings.

Develop Python proficiency across the data science toolkit, from data manipulation and visualisation through to external data access via APIs, AI APIs and cloud databases. You'll build AI-assisted analytical workflows with documented verification – applying precision, recall and F1-score to evaluate AI-generated outputs – and maintain professional standards for governance, provenance and reproducibility throughout.

What you'll produce: A set of Python analysis notebooks and a written report, documenting data manipulation, visualisation and external data access workflows, with AI-assisted analysis verified and clearly communicated for a stakeholder audience.

Move into machine learning, predictive modelling and advanced statistical analysis, applying regression, decision trees, clustering and NLP sentiment analysis to real business problems. You'll develop statistical reasoning through A/B testing and causal analysis, operationalise analytical workflows into reusable scripts scheduled with GitHub Actions, and close the course by directing and supervising an AI assistant through a live exploratory data analysis loop.

What you'll produce: A predictive analytics report and business presentation, synthesising regression, decision tree, clustering and sentiment analysis workflows into a coherent set of evidence-based recommendations.

Apply everything you've learned to a live data analytics brief set by an industry Employer Partner. Working in a small group, you'll analyse real datasets, develop data-informed recommendations and present your findings directly to the organisation – the kind of end-to-end analytical experience that distinguishes a strong interview candidate.

The Employer Project is:

• Unique to your cohort — the Employer Partner and brief are specific to your intake, keeping the challenge current and the experience genuine
• Grounded in real business needs — you'll work with authentic data and develop recommendations that address an actual organisational challenge
• Designed to reflect the work of a data analyst — drawing on the full range of tools and techniques built across the program, with the same standards of analysis, communication and delivery expected in a professional role

What you'll deliver: A final analytical report with code and findings, and a live group presentation delivered directly to the Employer Partner.s.