Excel and SQL solve similar problems in different ways. Knowing both makes you much more useful as an analyst.
Excel
- Visual and easy to start with.
- Great for small to medium data, quick checks and presentation.
- Slows down with very large files.
SQL
- Works on huge databases with millions of rows.
- Repeatable: the same query runs again tomorrow.
- Needs a database and some typing.
How the tasks compare
- Filtering rows: Excel Filter or FILTER, SQL
WHERE
- Totals by group: PivotTable or SUMIFS, SQL
GROUP BY
- Combining tables: VLOOKUP or XLOOKUP, SQL
JOIN
- Sorting: Sort, SQL
ORDER BY
A good workflow
Pull and shape the data with SQL, then analyse, chart and present it in Excel or Power BI.
What to learn first
Start with Excel formulas and PivotTables, because you can see the results immediately. Once you are comfortable, SQL is easy to pick up, since the ideas are the same.
Same task in both
Total sales by region. In Excel: =SUMIFS(C:C,A:A,"North") or a PivotTable. In SQL: SELECT region, SUM(sales) FROM orders GROUP BY region;. Excel suits small data and quick work; SQL suits large data in a database.
Common mistakes
- Pulling millions of rows into Excel instead of summarising in SQL first.
- Treating them as rivals instead of using both.
- Skipping Excel basics when starting SQL.
Frequently asked questions
Which should I learn first?
Excel first for most beginners, then SQL.
Can SQL replace Excel?
Not for formatting, quick checks or charts.
Do analysts need both?
Most analyst jobs ask for both.
Practice this online, free
Reading is only half of learning Excel. Cellgrids is a free place for online Excel practice: solve Excel formula exercises in a live spreadsheet, prepare for Excel interview questions, and work through business case studies built for data analytics and business analytics roles.
Practice these formulas: VLOOKUP, SUMIFS, FILTER.
Start Excel practice → Case studies
