Courses
Practical courses built from seven years of enterprise data delivery.
Power BI & DAX Foundations
Build models that answer questions, not dashboards that just look busy.
5 lessons · 3h
Python for Analysts
The pandas you actually need — to clean, join, aggregate, and automate real analysis.
5 lessons · 3h
SQL Fundamentals
Start from zero. Write your first real queries and build the habits the rest of the platform assumes.
9 lessons · 3h
Microsoft Fabric Essentials
The practical introduction to Fabric — Lakehouse, Pipelines, Notebooks, and when to use each.
7 lessons · 5h
Tools & Setup
Get your environment ready: a SQL client, Power BI, and Microsoft Fabric — step by step, with the commands you can copy.
7 lessons · 2h
SQL for Data Analysts
Go beyond SELECT *. Learn the SQL patterns that power real enterprise reporting.
10 lessons · 5h
Statistics for Analysts
The stats every data analyst needs — and most SQL courses skip entirely.
5 lessons · 3h
AI in the Microsoft Data Stack
Ship AI features where your data already lives — Azure OpenAI, Fabric Copilot, AI functions in notebooks, and Power BI.
7 lessons · 4h
Data Pipelines & Ingestion
The patterns that move data reliably — and recover gracefully when something breaks.
5 lessons · 3h
PySpark for Engineers
Understand the engine, and your Spark jobs stop being slow and mysterious.
4 lessons · 2h
Dimensional Modeling for Engineers
The Kimball approach explained by someone who uses it to build models that 600+ people report on daily.
7 lessons · 5h
Warehouse & Lakehouse Design
The structural decisions that make a warehouse fast to query and cheap to maintain.
5 lessons · 3h
Expert SQL for Analysts
The query layer, owned. Advanced windows, recursion, reshaping, performance, JSON — and a capstone that ties it together.
6 lessons · 2.7h
Data Governance & Quality
The practices that make data trustworthy enough to run a business on.
5 lessons · 3h