CS 442 - Data Warehousing and Visualization

Credits: (4)

Instructional Method: Four hours lecture.
Prerequisites: (CS 340 or INSY 304) with a grade of “C” or better and STAT 200 or STAT 301.
Advanced examination of the principles of database systems to support analytical applications, studying and practicing techniques for modeling, managing, analyzing, and visualizing large data sets. Explores traditional and cloud-based software architectures for implementing the entire business intelligence pipeline: ETL process, data quality, dimensional modeling, data visualization, and machine learning algorithms. Emphasizes communicating with data (oral and written) to empower data-driven decision making.