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学生对 加州大学尔湾分校 提供的 Data Warehousing and Business Intelligence 的评价和反馈

4.7
39 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....

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1 - Data Warehousing and Business Intelligence 的 7 个评论(共 7 个)

创建者 jimoh m

Mar 10, 2022

M​anaging and organization of data is very important in every organization, so data warehousing help to organise data for easy access and understanding

创建者 suneeth s

Feb 20, 2022

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

创建者 Wai K W C

Jan 17, 2022

A​ whirlwind tour to provide the basic algorithms for machine learning in data analysis

创建者 Oanh T

Feb 6, 2022

Thank you for useful course.

创建者 Umar F

Feb 7, 2022

best

创建者 Hany S

Aug 2, 2022

The Good: content is clear concise, and straight to the point

The Bad: there is virtually 0 practical application of any sort other than the occasional discussion forum. No actual technical platform where you can apply data warehousing technique.

Overall I would classify this course as well as the two other associated courses in this specialization as a glorified dictionary.

创建者 Lismar d C M Y

Mar 10, 2022

Theory content is on point, perfect

I​ would like to have more hands-on projects and practical excersices