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Career Growth
Why SQL Is the Most Underrated Skill in Every Data Career

Machine learning gets the headlines, but ask any working data professional what they use every single day and the answer is rarely neural networks. It is SQL — the 50-year-old query language that refuses to die, because nothing better has ever replaced it.
Every data job interview tests it
Scan data analyst, business intelligence, or data science listings and SQL appears in nearly all of them — usually before Python. Companies store their money-making data in relational databases, and the person who can pull exactly the right slice of it, without waiting for an engineer, is immediately valuable.
freeCodeCamp’s full database course above gives you a feel for it; our SQL for Data Analysis course adds structured practice and a portfolio project on top.
It is easier than you fear
SQL was literally designed in the 1970s so that non-programmers could ask questions of data. The basics — SELECT, WHERE, GROUP BY, JOIN — read like structured English, and most analysts do 90% of their work with a vocabulary of about fifteen keywords. You can be productive in two weekends.
Where it takes you
SQL is the trunk of the data career tree. Add spreadsheets and you are a capable analyst. Add Tableau or Power BI and you are a BI developer. Add Python and data science opens up. Whichever branch you choose, the trunk comes first.
