Detailed Course Information |
Summer 2026
Aug 30, 2026 |
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| INT 3253 - Data Visualization and Visual Analytics |
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This course is designed to provide students with a comprehensive understanding of visual analytics. Through hands-on projects using real-world data sets, students will learn data visualization techniques, statistical analysis, and data exploration using popular tools like Tableau, Power BI, and Python. The course also covers data storytelling, an essential skill for communicating insights effectively. By the end of the course, students will have developed critical thinking skills and the ability to create engaging and informative visualizations that adhere to best practices in visual analytics. This course is ideal for individuals pursuing careers in data analysis, business intelligence, data visualization, or data-driven decision-making. Students can expect to gain a thorough understanding of the principles of visual analytics and be equipped with practical skills to apply in various professional settings.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate, Undergraduate Schedule Types: Up to 24% course online, 25%-49% course online, 50%-74% course online, 75%-99% course online, 100% course online, Lecture Academic Division Management Department Course Attributes: CoBIT - Junior Prerequisites: Undergraduate level INT 2114 Minimum Grade of D- and Undergraduate level MCS 2124 Minimum Grade of D- and Undergraduate level MGT 2203 Minimum Grade of D- |
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