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The course aims to empower students with skills in data processing and analysis. It covers the identification of diverse data sources and methods for their processing. Students will gain an understanding of the ETL (Extract, Transform, Load) process, applying it practically to specific datasets. Additionally, the course focuses on schema design for effective data organization, introduces concepts of data mining, and provides hands-on experience in classification and clustering methods. Overall, students will develop a comprehensive skill set for handling, processing, and analyzing data in various contexts.