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8 modules · ~32 min
Azure Data for Non-Engineers
A no-code tour of Azure's data stack — storage, pipelines, Databricks, Synapse/Fabric, Power BI, governance and cloud cost.
What you'll be able to do
01
Understand what Azure is and its storage options
02
Follow Data Factory pipelines and Databricks
03
Know Synapse/Fabric warehouses and Power BI
04
Manage access, governance and cloud cost
Modules
8 in this track- 1 What Azure Is in Plain English Free A jargon-free tour of what Microsoft Azure actually is and the handful of words you keep hearing at work. Start →
- 2 Storage Accounts, Blob Storage & Data Lakes Free Where Azure keeps your files — and what people mean by blobs, containers and data lakes. Start →
- 3 Azure Data Factory & Pipelines Free The tool that moves and reshapes data on a schedule — explained without a line of code. Start →
- 4 Databricks, Spark & Notebooks Free What Databricks and Spark are, why notebooks matter, and the lakehouse idea — all in plain English. Start →
- 5 Synapse, Fabric & Warehouses Free What data warehouses are, and how Synapse and the newer Microsoft Fabric fit together. Start →
- 6 Power BI, Semantic Models & Dashboards Free How Power BI turns data into reports — plus what semantic models, DAX and refresh actually mean. Start →
- 7 Permissions, Access & Governance Free Who can touch what in Azure — RBAC, Entra ID, least privilege and Purview, explained simply. Start →
- 8 Cloud Costs: Compute, Storage & Refreshes Free What actually drives an Azure bill — and the simple habits that keep it under control. Start →