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Unit-2-Data Cleaning Integration Transformation Detailed by anushkapatil179.2004 is a document available to read on EtoBox.

The document outlines the course objectives and learning outcomes for Applied Data Science at Pimpri Chinchwad University, focusing on data cleaning, integration, and transformation using Python tools. It covers key concepts such as handling missing values, outlier detection, duplicate records, and data transformation techniques. Practical tools like Pandas, NumPy, and Missingno are highlighted for effective data wrangling.

Author
anushkapatil179.2004
Language
EN