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Course Code: CMPS469
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Credits: 3
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Hours Distribution: (3Crs.:2Lec,3Lab)
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Course Type: Departmental Elective (DE)
Course Description
This comprehensive course provides an in-depth exploration of fundamental concepts, techniques, and applications in data analytics and big data analysis within computer science. Students will develop practical skills in collecting, analyzing, and interpreting data to extract meaningful information and support decision-making processes. The course covers a diverse topic, including data preprocessing, exploratory data analysis, statistical analysis, data visualization, predictive modeling, as well as the study of big data analysis and its significance in modern computing. Students will also learn the techniques and technologies used to process, analyze, and extract information from large and complex datasets. By the end of the course, students will have a comprehensive understanding of data analytics, big data analysis, and their applications in various disciplines. Pre-req.: MATH242 & CMPS342.