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DTM-5330 Data Analytics

Data Analytics refers to the use of analysis techniques and processes to enhance productivity and business gains. Analytics is a multidimensional discipline that uses mathematics and statistics, descriptive techniques as well as predictive models to extract and present valuable knowledge from data stores. Organizations use analytics to process business data in an effort to describe, predict, and improve business performance. In this course, students will develop the knowledge and skills needed to extract and categorize data and to identify and analyze behavioral data and patterns using methodologies and techniques tailored to meet organizational requirements. Students will learn to apply frameworks for information optimization, visual analytics, data discovery, predictive analytics, and right-time and real-time analytics.

Credits: 3

Offered in Jan 2024, May 2024, Nov 2024, May 2025

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(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)