Data Warehousing and Business Analytics
Description
Data warehousing has recently gained a considerable momentum as a paradigm for driving daily business analytics operations. This course provides an introduction to fundamental issues and novel techniques of data warehouse. Issues covered include data warehouse planning; business analytics modeling, design, and implementation. In particular, the role of data warehouse in supporting business intelligence and effective decision making is emphasized through labs, projects and case studies. The course is designed to expose students to concepts, enabling methods and hands-on usage and problem solving in an integrated way. The participants will explore applications and have great opportunity for hands-on experimentation with data warehousing using advanced software packages from leading industrial vendors.
Requisites
Prerequisites: IS202/112 - Pre-req
Co-requisites: None
Anti-requisites: None
Attributes
Department: SCIS
Course Level: Undergraduate
Tracks: IS/T4BS: Business Analytics Track
Areas: Advanced Business Technology Major Analytics Major Business Options Data Science and Analytics Electives Econ Major Rel/Econ Options IS Depth Electives IT Solution Development Electives Social Sciences/PLE Major-related Technology & Entrepreneurship