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Python vs SQL: Which Should Data Analysts Learn First?

1 Mar 20266 min read

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.

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