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CS V25 — Python Programming for Data Science

3 credits · 3 hours

This course provides core knowledge and practical skills on Data Science (DS) concepts, techniques, and applications. It covers Knowledge Areas (KAs) such as Data Acquisition, Management, and Governance (DG), Data Privacy, Security, Integrity, and Analysis for security (DP), Programming, Data Structures, and Algorithms (PDA), Software Development and Maintenance (SDM), and Analysis and Presentation (AP). Students will gain hands-on experience using a variety of Data Science tools to solve real-world problems. This course is aligned with the Association of Computing Machinery (ACM) curriculum on Data Science.

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