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1. What Is SQL and Why Analysts Need It

1.2 SQL vs Excel vs Power BI vs Python — When to Use Which

Why. People mix tools. Knowing when SQL wins saves hours.

What. Excel is great for small sheets you see. Power BI is for dashboards. Python is for flexible scripts. SQL is best when data lives in tables and you need precise filters and joins.

How. Use SQL to pull the right rows first. Then chart in Excel/Power BI or analyse in Python if needed.

Steps

  1. List your question in plain words.
  2. If data is already a clean sheet under about 100k rows, Excel may be enough.
  3. If data is in a database or many related tables, start with SQL.
  4. See also the guide: /guides/excel-vs-sql.html

Ravindra Bagale's Tip

SQL answers which rows. Charts answer how it looks. Use both.