I make free YouTube courses for data nerds 🤓
| Course | YouTube Video | GitHub Repo | Supporter Resources | What you'll learn |
|---|---|---|---|---|
 |
 |
 |
 |
• Formulas and functions • Charts and pivot tables • Power Query and Power Pivot • 2 Projects: a dashboard and an analysis |
 |
|
|
|
• SELECT, JOIN, and aggregations • CTEs and subqueries • PostgreSQL from scratch • Project: analyzing the data job market |
 |
|
|
|
• Python fundamentals • NumPy, Pandas, and Matplotlib • Cleaning and visualizing data • Project: the most in demand data skills |
 |
|
|
|
• Visualizations and report design • Power Query for ETL • DAX and explicit measures • 2 Projects: job market dashboards |
 |
|
|
|
• Window functions • Dates, views, and data cleaning • Query optimization with EXPLAIN • Project: Contoso retail analysis |
 |
|
|
|
• Data warehouses and star schemas • ETL pipelines and data marts • DuckDB and MotherDuck • Project: raw CSVs to a warehouse |
 |
|
|
|
• dbt models, tests, and docs • Version controlled pipelines • Automating runs with GitHub Actions • 2 Projects: DuckDB then Databricks |
Every course is free to watch on YouTube. Supporting a course gets you the practice problems, a certificate, and the community.
Don't guess. In my free time I build datanerd.tech, an app that tracks skill demand, salaries, and openings across 4 million data job postings in 171 countries. Check what employers are actually asking for, then pick your course.
