Python vs SQL: which should a data analyst learn first?
For most analyst roles, SQL first. Almost every company stores data in a database, and SQL is how you get it out.
When Python becomes essential
- Cleaning messy files (CSV, Excel, JSON) with pandas.
- Statistics and forecasting.
- Automating repetitive reports.
- Machine learning.
A good path: 4–6 weeks of SQL (joins, aggregation, window functions), then Python with pandas, then visualisation.
Feedback & comments (2)
Priya Nair
Bookmarked. The explanations are simpler than most tutorials I have read.
Aarav Sharma
Very clear and to the point. Revised this the night before my interview and two questions came up!