Micro-Course · Data & Analytics
Data Fluency Basics
Beginner 28 min 5 Bytes Data & Analytics
SQL, pandas, data quality — the foundation every AI engineer and analyst actually needs.
What you'll cover
- SQL fundamentals for AI — Joins, window functions, CTEs — the SQL that actually shows up in AI work.
- Spreadsheet → Pandas — Translate VLOOKUP, pivot, filter into pandas.
- DataFrames vs arrays — When pandas helps, when numpy is faster, when both are wrong.
- Data quality fundamentals — Nulls, duplicates, drift.
- What is an LLM? — Tokens, embeddings, attention — the simplest possible mental model.