Intro To Data Sci & Analytics

Catalog description

P: CS 16100 (two semester-long sequence programming courses) or intermediate programming experience is required. This course introduces the fundamental concepts, methods, and practices of data science and analytics. Students will explore the data analytics lifecycle and develop a solid technical foundation in data processing, analysis, and visualization. Emphasis is placed on hands-on experience, as students apply quantitative reasoning and analytical skills to solve real-world problems using modern programming languages and data science libraries. Topics include data acquisition, cleaning and preparation, analysis methods, modeling, visualization, and visual storytelling. Through programming assignments and a comprehensive data analytics project, students will gain practical experience in transforming raw data into actionable insights.