Data Warehousing and Visualization

Catalog description

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.