Current Topics in Data Science

Catalog description

Prerequisites: DDS 8515 with a minimum grade of C. Sufficient Exposure to different modeling methods Exploring univariate data analysis, beginning with the fundamentals of clustering univariate data, students learn to group similar data points an essential skill for identifying patterns in various fields. Moving on to advanced analytical methods, students extract deeper insights and discern trends. The next focus is on predictive analytics, where students acquire the skills to forecast outcomes using univariate data implementing predictive techniques, processes, and diagnostics. The natural language processing, underlining the criticality of effectively communicating analytical results is also a subject explored. Each section is carefully crafted to provide a detailed and practical learning experience, making this course ideal for anyone seeking to master the spectrum of univariate data analysis, from basic clustering techniques to advanced predictive and communication strategies.