DANL 480 - Big Data Analytics

3 Credits

(Fall)
Prerequisite(s): BUIS 462. The course provides in depth coverage of the methods, tools, and applications used to extract and analyze big data with a focus on solving real world problems such as uncover hidden patterns, correlations and other insightful relationships. This course covers the technologies and tools used to store, retrieve and process big data. Other topics covered in the courses are text analytics, sentiment analysis, text mining, web analytics, streaming or real-time data analytics, network analytics, temporal and geospatial data analytics. A project is required.