Data Cleaning with Python Pandas: Real World Cafe Sales Dataset (Step-by-Step Tutorial)

In this video, you will learn how to clean real world data using Python Pandas through a complete step by step walkthrough of a cafe sales dataset. We handle common data cleaning tasks such as missing values, inconsistent text, incorrect data types, duplicates, and messy columns, exactly like you would see in real business data. This hands on Pandas tutorial is perfect for beginners and aspiring data analysts or data scientists who want practical experience with data cleaning, data preprocessing, and exploratory data analysis using Python. By the end of the video, you will understand how to turn raw cafe sales data into a clean and analysis ready dataset using Pandas.

Dataset: https://github.com/Onurbltc/SalesData

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Видео Data Cleaning with Python Pandas: Real World Cafe Sales Dataset (Step-by-Step Tutorial) канала Onur Baltaci