Data Cleaning and Preprocessing

Data Cleaning and Preprocessing is a critical process in the field of data analysis, especially when dealing with large and complex datasets. This session provides participants with an in-depth understanding of the importance of data cleaning and preprocessing and the various techniques involved.Participants will learn how to identify and handle missing or duplicate data, remove outliers, and standardize data formats. They will also explore techniques for data transformation, such as normalization and encoding categorical variables. Through hands-on exercises and real-world examples, participants will gain practical skills in cleaning and preprocessing data to ensure its quality and suitability for analysis.By the end of the session, participants will have a solid foundation in data cleaning and preprocessing principles and techniques, enabling them to effectively prepare data for further analysis and interpretation.

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