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This module focuses on equipping learners with practical data processing and manipulation skills. Learners will be introduced to pandas, a powerful Python library, as a core tool for data manipulation. Learners will become proficient in using pandas dataFrames, mastering essential operations such as indexing, slicing, and filtering data. They will gain a thorough understanding of various indexing techniques (loc, iloc, boolean indexing) and their appropriate applications. The module emphasizes the importance of data cleaning for accurate analysis and guides learners through various techniques to identify and handle missing values and outliers. It also covers different data types in Python, enabling learners to make informed choices for their analysis. Learners will practice loading, inspecting, and transforming datasets using pandas functions, applying these skills to real-world scenarios. By the end of this module, learners will confidently leverage pandas to clean, transform, and prepare data for subsequent analysis and visualization, ensuring data integrity and reliability in their data analysis projects.