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Connecting to SQL Databases via JDBC/ODBCExcel is the go-to tool in schools for managing student records, attendance, and exam scores. But when your Excel files grow large and complex, formulas fall short. That’s where SQL in Excel comes in. You can use SQL to filter, join, and analyze Excel data without writing complex macros — right from within your spreadsheet.
Let’s say you have a sheet named students:
| roll_no | name | class | city | |---------|------------|-------|-----------| | 1 | Aarav | 10A | Pune | | 2 | Diya | 10A | Chennai | | 3 | Sneha | 9B | Mumbai | - Save the file as `.xlsx` - Make sure the first row has column headers - Name the sheet **students** or assign a named range (recommended)For Excel 2016 or later:
students
sheet or named rangeInstead of loading the full table, click Home → Advanced Editor in Power Query and modify the code using SQL-like syntax.
let
Source = Excel.Workbook(File.Contents("C:\Users\You\Documents\school.xlsx"), null, true),
Students_Sheet = Source{[Item="students",Kind="Sheet"]}[Data],
#"Promoted Headers" = Table.PromoteHeaders(Students_Sheet, [PromoteAllScalars=true]),
#"Filtered Rows" = Table.SelectRows(#"Promoted Headers", each ([class] = "10A"))
in
#"Filtered Rows"
roll_no | name | class | city
--------+--------+-------+---------
1 | Aarav | 10A | Pune
2 | Diya | 10A | Chennai
Alternatively, use Microsoft Query to run SQL:
SELECT name, city FROM [students$] WHERE class = '9B';
This is useful when your student data is stored in a centralized MySQL database on a server.
GROUP BY
JOIN
-like operationsWith just Excel and a bit of SQL, you can unlock powerful data filtering and transformation — no coding or VBA required. Whether you’re preparing student reports, filtering city-wise performance, or pulling term-wise data from school systems, SQL with Excel makes it efficient, scalable, and reusable.
Coming up: SQL Interview Questions — a practical dive into real-world SQL challenges faced in education and business contexts.
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