Data Cleaning in Data Science Projects | Common Issues and Solutions Using Pandas (Bengali)

This video, presented in Bengali, discusses common data cleaning issues encountered in data-related projects and explores possible solutions using the Pandas library in Python. It explains how to identify and handle missing values, duplicate records, incorrect data types, inconsistent categories, extra spaces, incorrect dates, outliers, invalid values and formatting errors. The video also introduces practical approaches to make datasets cleaner, more consistent and suitable for further analysis and machine learning tasks. It is useful for students, beginners in data science and anyone interested in understanding the importance of data cleaning in a data-related project.