Upload CSV to PostgreSQL Using Python (Cleaned Data Project)
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In this video, I’ll show you how to upload a cleaned CSV file into a PostgreSQL database using Python, pandas, SQLAlchemy, and pgAdmin 4.
This is part 3 of our real data analyst project series. In the previous videos, we found problems in a messy dataset, cleaned the data using Python, and saved the cleaned dataset as a CSV file. Now we’ll take that cleaned file and store it inside a SQL database.
You’ll learn how to create a PostgreSQL database in pgAdmin 4, create a SQL table, connect Python to PostgreSQL, upload CSV data into SQL, and verify the results using SQL queries.
In this tutorial, you’ll learn:
How to create a database in pgAdmin 4
How to create a PostgreSQL table
How to connect Python to PostgreSQL
How to upload a CSV file into SQL using pandas
How to verify uploaded data in pgAdmin
How to run a simple business query in SQL
Need help installing PostgreSQL and pgAdmin?
Watch my beginner setup video here:
• Install PostgreSQL & Import Excel Data (St...
Download the dataset:
https://docs.google.com/spreadsheets/...
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Includes the datasets, Python code, PostgreSQL setup, SQL analysis files, Power BI dashboard, interview prep, and portfolio guides used throughout this series.
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