Phase 4 · SQL & Databases
TopicsJoins & Aggregations
Part of the Data Science Roadmap.
Summary
Combining rows across tables (INNER, LEFT, RIGHT, FULL) and summarizing them with GROUP BY and aggregate functions — how you build a single clean training dataset out of multiple normalized tables.
How to Learn This
- 1Practice a LEFT JOIN to find rows in one table with no match in another.
- 2Write a query grouping and aggregating data across a joined multi-table dataset.
- 3Learn why WHERE can't filter on an aggregated value, but HAVING can.
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