Insert Excel Sheets into SQL Using Python | Pandas + executemany() Tutorial for Beginners

Want to transfer Excel data into a SQL database fast and efficiently?

In this beginner-friendly Python tutorial, I’ll show you how to:
✅ Load multiple Excel sheets using pandas
✅ Automatically create SQL tables from sheet names
✅ Insert all rows using executemany() — the right way
✅ Verify the results with SELECT queries

## 📂 Files Included

*Get all Files Here* :

This workflow is perfect for data analysts, Excel users, and automation enthusiasts who want to stop copy-pasting and start coding!
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Thank you for watching.
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⏳ *Timestamps*⏳
00:00 Introduction
00:50 Step we will be taking to Insert Excel Sheets into SQL using PYTHON in Jupyter notebook
01:35 Reviewing the dataset we will be using in different tabs in excel
02:15 How to upload the excel sheet into Jupyter Notebook
02:53 Step 1: Insert the libraries we will be using in python
03:48 Step 2: Load excel file with multiple sheets
05:06 Step 3: Connect to SQLite database
06:04 Step 4: Loop through each sheet and insert data
07:12 Step 4a: Create a matching SQL table
09:27 Step 4b: Prepare data for SQL
10:00 Step 4c: Insert data using executemany()
13:05 Step 5: View tables in database
14:55 Step 6: Preview the data from all tables
17:04 Step 7: Save and close connection

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*Disclaimer:*
This content is for educational purposes only. Affiliate links may be included, and I may earn a small commission at no extra cost to you. Thank you for supporting the channel!

#sqlite #pythonforbeginners #pythonlearning #sql

[datageekismyname]

Get all Files Here:

📂 Files Included:

- Excel_to_SQL_Tutorial.py – Full working script
- sample_sales_data.xlsx – Sample Excel file with 3 sheets
- excel_to_sql.db – Final database output (pre-populated)