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学生对 University of California, Irvine 提供的 Data Warehousing and Business Intelligence 的评价和反馈
128 个评分
课程概述
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.
热门审阅
JM
Mar 9, 2022
Managing and organization of data is very important in every organization, so data warehousing help to organise data for easy access and understanding
SS
Feb 19, 2022
This course is an excellent and simple introduction for DWH which is easy to grasp and follow.
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26 - Data Warehousing and Business Intelligence 的 26 个评论（共 26 个）
创建者 Thao H
•Sep 10, 2025
Barely has any hands-on practices or useful insights. From my perspective as a fresh graduate in the business analytics major, I have known 99% of the content; the 1% left is the unforeseen waste of time prior to entering this course.