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How My Job Experience Shapes the Way I Learn SQL

As a college student working toward my Computer Science degree, I’ve been lucky to learn SQL both in the classroom and on the job. At work, I’ve used tools like Smartsheet and an LMS to track training data, and those experiences showed me the importance of being able to ask good questions of data. Now that I’m studying SQL more deeply, I see how powerful it is compared to just managing spreadsheets.

What I find most interesting is that SQL isn’t only about joining tables by IDs. Sometimes real-world logic is more complex. For example, I’ve seen training systems where eligibility isn’t just a key match, but based on conditions—like “employees can only register for courses if their years of experience exceed the course’s minimum requirement.” In SQL, I can capture that logic with a simple query:

SELECT e.employee_id, e.name, c.course_id, c.title FROM employees e
JOIN courses c ON e.years_experience > c.min_years_required;

This goes beyond what I could easily do in Smartsheet or Excel and shows how SQL can reflect actual business rules.

As I continue learning, I’m also diving into Power BI, which makes me appreciate SQL even more. SQL is the foundation that prepares data, while Power BI helps turn it into visuals and dashboards that people can act on. I find SQL fairly straightforward to learn, but the harder parts are translating English questions into precise code—especially when it involves grouping (GROUP BY/ HAVING), handling NULL values, or working with multi-table joins. That’s where I need to slow down and think critically.

Overall, combining what I’ve learned from my job with what I’m studying in school and in Power BI gives me a clearer picture of how data flows: from raw information in a database, to queries in SQL, to insights in dashboards. For me, it feels like I’m building the skill set to not just manage data, but to actually tell its story.

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