Both Python and SQL are essential for data analysts, but which should you learn first? Here is our recommendation.
Start with SQL
SQL is the universal language of data. Nearly every data analyst role requires SQL proficiency. It is relatively easy to learn and immediately practical.
What SQL gives you:
- Query databases to extract data
- Filter, sort, group, and aggregate information
- Join multiple tables
- Create views and reports
Then Learn Python
Python extends your capabilities beyond what SQL can do alone. It is ideal for:
- Advanced data manipulation (pandas)
- Statistical analysis
- Automation and scripting
- Data visualisation (matplotlib, seaborn)
- Machine learning (if you progress to data science)
The Ideal Order
- Month 1–2: SQL fundamentals and intermediate queries
- Month 2–4: Python basics + pandas for data analysis
- Month 4–6: Combine both in real projects
What Employers Expect
Most UK data analyst job listings require SQL. About 60% also list Python as a preferred or required skill. Learning both makes you significantly more competitive.