Data Manipulation focuses on transforming, organizing, and managing data to make it suitable for analysis and decision-making. It involves modifying raw datasets by cleaning, filtering, sorting, aggregating, and restructuring information. This training explains key techniques used to handle structured and unstructured data using programming and data tools. It also covers handling missing values, data normalization, joins, grouping, and feature engineering concepts. You will learn how organizations prepare and refine data for analytics, reporting, and machine learning applications. The course also highlights best practices for efficient and accurate data processing workflows.
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