INTRO TO DATA & DATA ANALYTICS

Catalog description

This course introduces students to core concepts and the current landscape of Data Science, Machine Learning, and Artificial Intelligence. Students explore how these fields intersect through a shared data lifecycle, including problem definition, data collection, preparation, analysis, and communication of results. Topics include types of data, sampling methods, web scraping, handling missing data, basic data storage, descriptive statistics, data visualization, dashboards, and ethical use of data. While a range of tools and technologies are discussed, this is not a programming course, and no prior programming experience is required.