Clean Data Like a Pro in Python Pandas 🔥 | Step-by-Step Tutorial for Beginners

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🔶 Want to clean your messy data like a pro using Python Pandas? In this beginner-friendly tutorial, we walk you through 14 essential data cleaning steps using a real dataset with 300+ rows and 5 columns. 🧹📊

From removing null values and duplicates to fixing column names and encoding categorical variables, this step-by-step Pandas tutorial will teach you how to handle dirty datasets like a data analyst!

📂 Dataset used: 300+ rows, real-world sample data for employees
📍 Tools: Python, Pandas, Jupyter Notebook

🎓 Perfect for beginners, data science students, and anyone starting their data cleaning journey!

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