Data Importing and Preprocessing focuses on bringing raw data from multiple sources into analytical systems and preparing it for analysis or machine learning. It involves extracting data from files, databases, APIs, and cloud platforms and ensuring it is clean, consistent, and usable. This training explains key preprocessing techniques such as handling missing values, encoding categorical data, normalization, scaling, and feature selection. It also covers data validation, transformation pipelines, and quality checks. You will learn how organizations prepare high-quality datasets for analytics, reporting, and predictive modeling. The course also highlights best practices for building efficient and reliable data preprocessing workflows.
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