Three tracks.
Every level.

Fabric Fundamentals

Your on-ramp to the Microsoft Fabric ecosystem. No prior data engineering experience required — just curiosity and commitment.

Modules covered

• Introduction to Microsoft Fabric & the Unified Data Platform
• Lakehouses: Architecture, Delta Tables & OneLake
• Data Pipelines: Ingestion & Orchestration
• Dataflows Gen2 & Power Query in Fabric
• Semantic Models & DirectLake Mode
• Power BI Reports & Dashboards
• Data Governance & Workspace Management
• Capstone Project: End-to-end Lakehouse build

Power BI for Analysts

Go from spreadsheets to production-grade dashboards. Learn DAX, data modelling, and storytelling with data.

Modules covered

• Power BI Desktop deep-dive & data sources
• Data Modelling: Star schemas & relationships
• DAX Fundamentals: Measures, calculated columns
• Advanced DAX: Time intelligence, CALCULATE
• Report Design & UX best practices
• Power BI Service, workspaces & row-level security
• Real-Time Analytics with streaming datasets
• Power BI integration with Microsoft Fabric
• Stakeholder communication & data storytelling
• Capstone: End-to-end analytics solution

Data Career Launchpad

Full-stack data engineering meets career coaching. Build a production portfolio, ace technical interviews, and land your first data role.

Modules covered

• Advanced Lakehouse patterns & medallion architecture
• Data Pipelines at scale: complex transformations
• Dataflows Gen2: advanced M & Power Query
• Real-Time Analytics: KQL, Eventstreams & Eventhouse
• Data Activator: Alerts & automated actions
• Analytics Engineering with dbt & Fabric
• Portfolio project: Real-world business scenario
• CV & LinkedIn optimisation for data roles
• Technical interview preparation & mock interviews
• Networking with hiring partner companies
• Salary negotiation & offer evaluation
• Mentorship with industry data professionals