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Learner Reviews & Feedback for Data Warehousing and Business Intelligence by University of California, Irvine

4.6
stars
45 ratings

About the Course

This course builds on “The Nature of Data and Relational Database Design” to extend the process of capturing and manipulating data through data warehousing and data mining. Once the transactional data is processed through ETL (Extract, Transform, Load), it is then stored in a data warehouse for use in managerial decision making. Data mining is one of the key enablers in the process of converting data stored in a data warehouse into actionable insight for better and faster decision making. By the end of this course, students will be able to explain data warehousing and how it is used for business intelligence, explain different data warehousing architectures and multidimensional data modeling, and develop predictive data mining models, including classification and estimation models. IN addition, students will be able to develop explanatory data mining models, including clustering and association models....

Top reviews

SS

Feb 19, 2022

This course is an excellent and simple introduction for DWH which is easy to grasp and follow.

MW

Aug 27, 2022

Well put together, a concentrated review of the essentials!

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