Data Science and Big Data Analytics. ((3 Credits))

Catalog description

Prerequisite(s): INFO 3130 and University Advanced Standing Extends the concepts of analytics to the analysis of large data-sets, and preparation of analysis reports and presentations describing implications of findings. Uses current software tools for advanced analytics and big data. Covers the theory and methods of advanced data analytics such as clustering, association, decision trees, time series, and natural language processing. Employs a hands-on big data lifecycle lab. Lab access fee of $45 for computers applies.