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ABOUT THE COURSE:The ability to extract meaningful insights from large datasets is becoming increasingly vital across industries. This course on Data Mining for Decision Making equips students with foundational and practical knowledge in mining and analyzing complex data using both statistical and machine learning techniques. Learners will explore tools such as decision trees, neural networks, clustering, regression, principal component analysis, and association rules to uncover patterns and trends in real-world data. The course emphasizes applications in business and management, enabling data-driven decision-making. Students will also engage in hands-on assignments, tutorials, and a project focused on solving real decision problems. By the end of the course, learners will be able to apply data mining tools confidently and critically to support actionable insightsINTENDED AUDIENCE: Computer Science, Data Science, Electrical, Electronics, and other relevant engineering studentsINDUSTRY SUPPORT: Meta, Apple, Google, Magic Leap, Microsoft, OpenAI, Sony, etc.
